untitled

Size: px
Start display at page:

Download "untitled"

Transcription

1 1 SS 2 2 (DS) DS DS (channel papacity) E b /N M M M M M C 25 1

2 1 SS, 1,, SS, SN, SS a) (Direct Spread: DS) SS (Pseudo Noise: PN) PN PN ( ) BPF b) (Frequency Hopping: FH) PN FSK FSK 2 FH c) (Time Hopping:TH) PN FH TFH d) 2 FH/DS TFH TH/DS 2

3 d(t) d(t)p(t) 1-1 Data d(t) PN sequence p(t) 1: DS 2 (DS),, BPF Shannon, SS, DS 2.1 DS DS, 2. (Peseudo Noise: PN). DS 1. PN, SS ( ). B, B p PN, 2 SS. 3

4 2B 2B p f SS f 2.2 DS 2: 1 3 SS PN Ad(t) p(t) (1) PN p(t) p(t) 1 1 p(t) 2 =1 Ad(t) p(t) 2 = Ad(t) (2) 2.3 I(t) (BPF) 4(A) PN SS SS SS 4(B) 4

5 BPF p(t) LPF d(t) PN 3: DS F [I(t)] F [d(t)] 2B p SS F [d(t)p(t)] f F [I(t)p(t)] 2B f F []: 4:. B PN B p. 5

6 2.4 (channel papacity) [[1] ] 6

7 2.5 [[2] ] P S = N W, (3) W (4.212) 7

8 8

9 Fig Comparison of several modulation methods at 1 5 symbol error probability.[3] 2.6 E b /N n(t), 5 G(f)., G(f) N 2 f 5: G(f) 2. n(t) =x 9

10 S... T b t p W (x) ([4] p.29). 6: 1 E b p W (x) = 1 σ 2π e (x mx) 2 2σ (4) σ 2, m x n(t), m x =. ψ(t), n(t) ˆn, ˆn = Ts. σ 2 N, [4] pp n(t)ψ(t)dt (5) σ 2 = E{ˆn} m x = N 2 (6) E{ }., 1 E b., E b., E b = Tb ( S) 2 dt = ST b (7) T b : S :, E b /N S/N, ([4] p.158). E b N = ST b N = S RN = SW RN W = S R 1 N/W (8) R = 1 T b ( ) W : (Hz) N :, N = N W 1

11 h =1 h 1 h 2 h 3 h k 1 h k =1 SR 1 SR 2 SR 3 SR k o 3 M 3.1 7: M SS,. 1),. 2),. 3),., SS (M )., M. 3.2 M M, 2 (Linear Feedback Shift Register : LFSR) n LFSR N =2 n 1. h(x) =h k X k + + h 3 X 3 + h 2 X 2 + h 1 X 1 + h, GF(2). LFSR h i (i =, 1, 2,,k), 7, h i 1., h(x) =X 4 + X +1 8, N =2 4 1=15 M., 1. M,, Peterson [5]. Peterson GF(2 9 ) 2. Peterson 8, 2 (45) ( ) , X 4 + X ( a) 8 X 4 + X

12 SR 1 SR 2 SR 3 SR 4 8: M ( 15 ) 1: M ( 15 ) SR 1 SR 2 SR 3 SR

13 M 2: (8 ) (7) (13) (23) (45) 8, (75) 8, (67) (13) 8, (147) 8, (155) (211) 8, (217) 8, (235) 8, (367) 8, (277) 8, (325) 8, (23) 8, (313) 8, (345) (435) 8, (551) 8, (747) 8, (453) 8, (545) 8, (543) 8, (537) 8, (73) (121) 8, (1131) 8, (1461) 8, (1423) 8, (155) 8, (1167) 8, (1541) 8, (1333) 8, (165) 8, (1751) 8, (1743) 8, (1617) 8, (1553) 8, (1157) 8, (1715) 8, (1563) 8, (1713) 8, (1175) 8, (1725) 8, (1225) 8, (1275) 8, (1773) 8, (1425) 8, (1267) M M h(x) α. u i = Tr(θα i ) i =, 1,,N 1 (9) u,u 1,,u i,,u N 1 : M {, 1} Tr(α) =α + α 2 + α 22 +,, +α 2n 1 : GF(2 n ) GF(2) θ : GF(2 n ) (1, 2,, 2 n 1 ), θ =1,. u i = Tr(α i ) (1), N =2 n 1 M u =(u,u 1,,u N 1 ), q, (Decimation: ), v =(v,v 1,,v N 1 )..,, v = u[q] (11) v i = Tr(θα iq )=Tr(θ(α q ) i )=Tr(θβ i ) (i =, 1,,N 1) (12)., β = α q, v M, GF(2 n ) α q (q:gcd(n,q)=1 q), M u, N M 13

14 3: M (15 2 ) , M, u = u[2]. Tr(α 2i )=Tr((α i ) 2 )=Tr(α i ) (13) ( b)? 3.4 M, n M, 1 (2 n 1 1), 1 2 n 1., 1, 1 1/2,,.,, SS,,.,, M, 2. M,., p(t), t p(t) τ p(t + τ),. R pp (τ) = 1 T p(t)p(t + τ)dt (14) T T : p(t) 1,, 2. 1,,., M, 1, 1 1/N. M 1 N +1 τ R pp (τ) = N T b 1 N lt T b τ lt + T b (l 1)T + T b τ lt T b (15) 14

15 1 R pp (τ) T b 1/N T τ 9: M T : p(t) 1 T b :1 N : N = T /T b l =, ±1, ±2,. M 9., M,., M 1., M,.,, M,., SS. 1, L =7 M., M,., T, 1., M. M,., M 2,,. 3.5 M Wiener-Khintchine, F (ω) 2 R pp (τ). F (ω) 2 = R pp (τ)e jωτ dτ (16) R pp (τ) =2π F (ω) 2 e jωτ dω (17) M. (15) R pp (τ) = C n e jnω τ n= (18) 15

16 (1) (2) M (3) (1) (2) (4) M (5) (3) (4) (1) (6) (2) 1 (7) (3) (6) (1) (8) (3) (2) = (1) 1: M SS. (L=7) 16

17 Correlator Channel (1) Received signal (3) (2) Local PN-sequence generator Low-pass filter Decision stage Output data +1 (1) Received signal -1 (a) (2.a) PN sequence (correctly synchronized) (3.a) Product signal of (1) and (2.a) -1 (b) (2.b) PN sequence (not synchronized) (3.b) Product signal of (1) and (2.b) (c) (2.c) PN sequence (different sequence) (3.c) Product signal of (1) and (2.c) : DS/SS demodulator. 17

18 ω, ω =2π/T. C n 1 T /2 R pp (τ)e jnωτ dτ (n =1, 2, ) C n = T T /2 1 T /2 R pp (τ)e jnωτ dτ (n = 1, 2, ) T T /2 (19). n =1, 2, C n C n = 1 T T /2 T /2 R pp (τ)e jnω τ dτ T /2 = 1 Tb (1 N +1 τ )e jnωτ dτ 1 T N T b NT T b + 1 (1 + N +1 τ )e jnωτ dτ 1 T T b N T b NT = 2 T /2 cosnω τdτ + 2 Tb (1 N +1 NT T b T N = 2 [ ] sinnω τ T /2 + 2 [ ] sinnω τ Tb NT nω T b T nω 2(N +1) NT Tb, 3, Tb τ T b cosnω τdτ =. (21). C n = 2sinnω T b NT nω + 2sinnω T b T nω Tb e jnω τ dτ T /2 e jnω τ dτ τ )cosnω τdτ (2) T b τ T b cosnω τdτ (21) [ τ Tb sinnω τ nω = sinnω T b nω ] Tb 1 T b [ Tb cosnω τ n 2 ω 2 1 sinnω τ dτ T b nω = sinnω T b 1 ( cosnω nω T b n 2 ω 2 T b +1) = sinnω T b 2 sin 2 (nω nω T b n 2 ω 2 T b /2) (22) { 2(N +1) NT ] Tb } sinnω T b 4(N +1) sin 2 (nω nω NT T b n 2 ω 2 T b /2) = (N +1)T b sin 2 (nω T b /2) NT (nω T b /2) 2 = N +1 Sa 2 (nω N 2 T b /2) (23) n = 1, 2, C n C n = N +1 N 2 Sa 2 (nω T b /2) (24). Sa(x) =(sinx)/x,. n = C = 1 T T /2 T /2 R pp (τ)dτ 18

19 ., (15), T /2 = 2 Tb (1 N +1 τ )dτ 2 dτ T N T b NT T b = 2 (T b N +1 Tb 2 ) 2 ( T T N 2T b NT 2 T b) = 2 N N +1 1 N 2 N + 2 N 2 = 1 N 2 (25) R pp (τ) = 1 N + N +1 2 N 2 n= n Sa 2 (nω T b /2)e jnω τ (26) F (ω) 2 = F[ = = 2π n= n= n= C n e jnω τ ] C n F[e jnω τ ] C n δ(ω nω ) = 2π N +1 δ(ω)+2π N 2 N 2 n= n. 12, M. Sa 2 (nω T b /2)δ(ω nω ) (27) 4 4.1,,,.,,. 13.,, PN,, ±T c /2 (T c : )., (Delay Lock Loop ;DLL). 4.2, PN,... 19

20 F (ω) 2 2π/T b 2π/T b ω 2π/T 12: > < PN DLL 13: 2

21 ,.., PN.,. 4.3, (delay lock loop : DLL). DLL, (voltage controlled oscillator : VCO), PN. 14. DLL,,,,. 14 DLL. 2, PN (early) (late) PN,, 2. ( ) τ,,. R pp (τ) = 1 T p(t)p(t + τ)dt (28) T p(t) t, p(t + τ) τ. T, p(t) 1., 2. 1,,. M, 1, 1 1 T. 15 (1), (2). T c, (< t c ) (3). S. T, T. DC. DC. LPF, DC., DC 15 (3) τ, (V ). S, DC. DC VCO. VCO PN.,. 21

22 Late Code (1) (2) + (3) F(s) Early Code PN VCO 14: DLL 1 -T c -T c - (1) Early Code (2) Late Code T c 1 T c 1 t -T c T c t -1 t (3) S 15: S 22

23 K frequency 1,2,...,K: Channel time FDMA 1 2 TDMA FDMA: frequency-division multiple access ( ) TDMA: time-division multiple access ( ) CDMA: code-division multiple access ( ) K 2 1 CDMA frequency power code K code 2 code 1 frequency 16: Comparison of multiple access schemes. 5 [1] pp , 1988 [2],,, ( ), pp.7-9, ISBN X, [3] John Proakis, Digital Communications, 4th edition, McGrow Hill, ISBN , 2. [4] B.Sklar: Digital Communications, Prentice-Hall, p.29, p.158, pp (1988). [5] W.W.Peterson, Error Correcting Codes,M.I.T. Press, Cambridge, Mass., pp , [6],, :,, IN83-67, pp.25-3( ). [7] :,, pp.3-24(1987). [8] :,, vol.15, No.1, pp.45-48(1985-1). 23

24 [9] :, 3. [1] : SS, 3. [11] :, 5. 24

25 C (1) DS,. PN PN = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1} ( 15 M ). (2) M. (3) (2) M. (4) M, DFT( FFT )., (27)., SS C. ((4) DFT ),. 25

UWB a) Accuracy of Relative Distance Measurement with Ultra Wideband System Yuichiro SHIMIZU a) and Yukitoshi SANADA (Ultra Wideband; UWB) UWB GHz DLL

UWB a) Accuracy of Relative Distance Measurement with Ultra Wideband System Yuichiro SHIMIZU a) and Yukitoshi SANADA (Ultra Wideband; UWB) UWB GHz DLL UWB a) Accuracy of Relative Distance Measurement with Ultra Wideband System Yuichiro SHIMIZU a) and Yukitoshi SANADA (Ultra Wideband; UWB) UWB GHz DLL UWB (DLL) UWB DLL 1. UWB FCC (Federal Communications

More information

スライド タイトルなし

スライド タイトルなし (LNA) (LNA) (PA) ASK FSK PSK BER Bit Error Rate/ratio QPSK GMSK QAM OFDM ASK FSK PSK ASK(Amplitude-shift keying) e( t) = S( t)cos( ω t + θ ) c AM S(t) [+1,0] [+1/2, 1/2] 1 1 2 S(t) 0 1 2 e(t) C O B A E

More information

1 s(t) ( ) f c : A cos(2πf c t + ϕ) (AM, Amplitude Modulation) (FM, Frequency Modulation) (PM, Phase Modulation) 2

1 s(t) ( ) f c : A cos(2πf c t + ϕ) (AM, Amplitude Modulation) (FM, Frequency Modulation) (PM, Phase Modulation) 2 (Communication and Network) 1 1 s(t) ( ) f c : A cos(2πf c t + ϕ) (AM, Amplitude Modulation) (FM, Frequency Modulation) (PM, Phase Modulation) 2 1.1 AM s(t) : A(αs(t) + 1) cos 2πf c t A, α : s(t) = cos

More information

Microsoft Word - 信号処理3.doc

Microsoft Word - 信号処理3.doc Junji OHTSUBO 2012 FFT FFT SN sin cos x v ψ(x,t) = f (x vt) (1.1) t=0 (1.1) ψ(x,t) = A 0 cos{k(x vt) + φ} = A 0 cos(kx ωt + φ) (1.2) A 0 v=ω/k φ ω k 1.3 (1.2) (1.2) (1.2) (1.1) 1.1 c c = a + ib, a = Re[c],

More information

<4D F736F F D B B83578B6594BB2D834A836F815B82D082C88C60202E646F63>

<4D F736F F D B B83578B6594BB2D834A836F815B82D082C88C60202E646F63> 通信方式第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/072662 このサンプルページの内容は, 第 2 版発行当時のものです. i 2 2 2 2012 5 ii,.,,,,,,.,.,,,,,.,,.,,..,,,,.,,.,.,,.,,.. 1990 5 iii 1 1

More information

main.dvi

main.dvi 5 IIR IIR z 5.1 5.1.1 1. 2. IIR(Infinite Impulse Response) FIR(Finite Impulse Response) 3. 4. 5. 5.1.2 IIR FIR 5.1 5.1 5.2 104 5. IIR 5.1 IIR FIR IIR FIR H(z) = a 0 +a 1 z 1 +a 2 z 2 1+b 1 z 1 +b 2 z 2

More information

( ) : 1997

( ) : 1997 ( ) 2008 2 17 : 1997 CMOS FET AD-DA All Rights Reserved (c) Yoichi OKABE 2000-present. [ HTML ] [ PDF ] [ ] [ Web ] [ ] [ HTML ] [ PDF ] 1 1 4 1.1..................................... 4 1.2..................................

More information

<4D F736F F D B B BB2D834A836F815B82D082C88C602E646F63>

<4D F736F F D B B BB2D834A836F815B82D082C88C602E646F63> 信号処理の基礎 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/081051 このサンプルページの内容は, 初版 1 刷発行時のものです. i AI ii z / 2 3 4 5 6 7 7 z 8 8 iii 2013 3 iv 1 1 1.1... 1 1.2... 2 2 4 2.1...

More information

1 7 ω ω ω 7.1 0, ( ) Q, 7.2 ( Q ) 7.1 ω Z = R +jx Z 1/ Z 7.2 ω 7.2 Abs. admittance (x10-3 S) RLC Series Circuit Y R = 20 Ω L = 100

1 7 ω ω ω 7.1 0, ( ) Q, 7.2 ( Q ) 7.1 ω Z = R +jx Z 1/ Z 7.2 ω 7.2 Abs. admittance (x10-3 S) RLC Series Circuit Y R = 20 Ω L = 100 7 7., ) Q, 7. Q ) 7. Z = R +jx Z / Z 7. 7. Abs. admittance x -3 S) 5 4 3 R Series ircuit Y R = Ω = mh = uf Q = 5 5 5 V) Z = R + jx 7. Z 7. ) R = Ω = mh = µf ) 7 V) R Z s = R + j ) 7.3 R =. 7.4) ) f = π.

More information

29 1 6 1 1 1.1 1.1 1.1( ) 1.1( ) 1.1: 2 1.2 1.2( ) 4 4 1 2,3,4 1 2 1 2 1.2: 1,2,3,4 a 1 2a 6 2 2,3,4 1,2,3,4 1.2( ) 4 1.2( ) 3 1.2( ) 1.3 1.3 1.3: 4 1.4 1.4 1.4: 1.5 1.5 1 2 1 a a R = l a l 5 R = l a +

More information

LD

LD 989935 1 1 3 3 4 4 LD 6 7 10 1 3 13 13 16 0 4 5 30 31 33 33 35 35 37 38 5 40 FFT 40 40 4 4 4 44 47 48 49 51 51 5 53 54 55 56 Abstract [1] HDD (LaserDopplerVibrometer; LDV) [] HDD IC 1 4 LDV LDV He-Ne Acousto-optic

More information

CDMA (high-compaciton multicarrier codedivision multiple access: HC/MC-CDMA),., HC/MC-CDMA,., 32.,, 64. HC/MC-CDMA, HC-MCM, i

CDMA (high-compaciton multicarrier codedivision multiple access: HC/MC-CDMA),., HC/MC-CDMA,., 32.,, 64. HC/MC-CDMA, HC-MCM, i 24 Investigation on HC/MC-CDMA Signals with Non-Uniform Frequency Intervals 1130401 2013 3 1 CDMA (high-compaciton multicarrier codedivision multiple access: HC/MC-CDMA),., HC/MC-CDMA,., 32.,, 64. HC/MC-CDMA,

More information

impulse_response.dvi

impulse_response.dvi 5 Time Time Level Level Frequency Frequency Fig. 5.1: [1] 2004. [2] P. A. Nelson, S. J. Elliott, Active Noise Control, Academic Press, 1992. [3] M. R. Schroeder, Integrated-impulse method measuring sound

More information

[1] 1.1 x(t) t x(t + n ) = x(t) (n = 1,, 3, ) { x(t) : : 1 [ /, /] 1 x(t) = a + a 1 cos πt + a cos 4πt + + a n cos nπt + + b 1 sin πt + b sin 4πt = a

[1] 1.1 x(t) t x(t + n ) = x(t) (n = 1,, 3, ) { x(t) : : 1 [ /, /] 1 x(t) = a + a 1 cos πt + a cos 4πt + + a n cos nπt + + b 1 sin πt + b sin 4πt = a 13/7/1 II ( / A: ) (1) 1 [] (, ) ( ) ( ) ( ) etc. etc. 1. 1 [1] 1.1 x(t) t x(t + n ) = x(t) (n = 1,, 3, ) { x(t) : : 1 [ /, /] 1 x(t) = a + a 1 cos πt + a cos 4πt + + a n cos nπt + + b 1 sin πt + b sin

More information

Z: Q: R: C: sin 6 5 ζ a, b

Z: Q: R: C: sin 6 5 ζ a, b Z: Q: R: C: 3 3 7 4 sin 6 5 ζ 9 6 6............................... 6............................... 6.3......................... 4 7 6 8 8 9 3 33 a, b a bc c b a a b 5 3 5 3 5 5 3 a a a a p > p p p, 3,

More information

7 π L int = gψ(x)ψ(x)φ(x) + (7.4) [ ] p ψ N = n (7.5) π (π +,π 0,π ) ψ (σ, σ, σ )ψ ( A) σ τ ( L int = gψψφ g N τ ) N π * ) (7.6) π π = (π, π, π ) π ±

7 π L int = gψ(x)ψ(x)φ(x) + (7.4) [ ] p ψ N = n (7.5) π (π +,π 0,π ) ψ (σ, σ, σ )ψ ( A) σ τ ( L int = gψψφ g N τ ) N π * ) (7.6) π π = (π, π, π ) π ± 7 7. ( ) SU() SU() 9 ( MeV) p 98.8 π + π 0 n 99.57 9.57 97.4 497.70 δm m 0.4%.% 0.% 0.8% π 9.57 4.96 Σ + Σ 0 Σ 89.6 9.46 K + K 0 49.67 (7.) p p = αp + βn, n n = γp + δn (7.a) [ ] p ψ ψ = Uψ, U = n [ α

More information

V s d d 2 d n d n 2 n R 2 n V s q n 2 n Output q 2 q Decoder 2 R 2 2R 2R 2R 2R A R R R 2R A A n A n 2R R f R (a) 0 (b) 7.4 D-A (a) (b) FET n H ON p H

V s d d 2 d n d n 2 n R 2 n V s q n 2 n Output q 2 q Decoder 2 R 2 2R 2R 2R 2R A R R R 2R A A n A n 2R R f R (a) 0 (b) 7.4 D-A (a) (b) FET n H ON p H 3 ( ) 208 2 3 7.5 A-D/D-A D-A/A-D A-D/D-A CCD D () ( ) A-D (ADC) D-A (DAC) LSI 7.5. - 7.4(a) n 2 n V S 2 n R ( ),, 2 n i i i V S /2 n MOS i V S /2 n 8 256 MOS 7.4(b) DA n R n 2 2R n MOS 2R R 2R 2R OP OP

More information

Microsoft PowerPoint - 山形大高野send ppt [互換モード]

Microsoft PowerPoint - 山形大高野send ppt [互換モード] , 2012 10 SCOPE, 2012 10 2 CDMA OFDMA OFDM SCOPE, 2012 10 OFDM 0-20 Relative Optical Power [db] -40-60 10 Gbps NRZ BPSK-SSB 36dB -80-20 -10 0 10 20 Relative Frequency [GHz] SSB SSB OFDM SSB SSB OFDM OFDM

More information

main.dvi

main.dvi CDMA 1 CDMA ( ) CDMA CDMA CDMA 1 ( ) Hopfield [1] Hopfield 1 E-mail: okada@brain.riken.go.jp 1 1: 1 [] Hopfield Sourlas Hopfield [3] Sourlas 1? CDMA.1 DS/BPSK CDMA (Direct Sequence; DS) (Binary Phase-Shift-Keying;

More information

GPS GPS GPS GPS GPS

GPS GPS GPS GPS GPS 22 GPS/QZSS 0723053 1... 4 1.1... 4 1.2... 4 1.3 GPS... 4 1.4 GPS... 6 1.5... 12 2 GPS... 16 2.1 GPS... 16 2.2 GPS... 16 2.3... 17 2.3... 18 2.4... 21 2.5... 24 2.6... 26 3 GPS... 28 3.1 DGPS... 28 3.1.1...

More information

CWContinuous Wave CW 1.1.2 XCT(Computed Tomography) MRI Magnetic Resonance Imaging)PET(Positron Emission Tomography) XCT 2

CWContinuous Wave CW 1.1.2 XCT(Computed Tomography) MRI Magnetic Resonance Imaging)PET(Positron Emission Tomography) XCT 2 1.1 1.1.1 RadarRadio Detection and Ranging 1960 1 10 1 CWContinuous Wave CW 1.1.2 XCT(Computed Tomography) MRI Magnetic Resonance Imaging)PET(Positron Emission Tomography) XCT 2 3 XCTMRI XCTMRI XCT /10

More information

情報通信工学2-ocw.dvi

情報通信工学2-ocw.dvi 4 4.1 (Amplitude Modulation) (VSB: 4.1.1 ( ) (AM) m(t) f c s(t) = (1 + m(t)) c(t) =A c (1 + m(t)) cos(2ßf c t + ffi c ) =

More information

報告書

報告書 8 8 2 8 3 8 4 6 8 3 152 2 34849 4 38pt 32pt29pt 1 2 12 2 1 2 3 2 173 2 1 8 7 Q1 Q1 8 9 Q2 Q2 8 10 Q3 Q32 21 8 11 Q4 Q42 ( )) 21 8 12 Q5 Q52 ( )) 21 8 13 Q6 Q6 ( )) 8 14 Q7 Q7 ( )) 8 15 Q8 Q8 ( )) 8 16

More information

さくらの個別指導 ( さくら教育研究所 ) A a 1 a 2 a 3 a n {a n } a 1 a n n n 1 n n 0 a n = 1 n 1 n n O n {a n } n a n α {a n } α {a

さくらの個別指導 ( さくら教育研究所 ) A a 1 a 2 a 3 a n {a n } a 1 a n n n 1 n n 0 a n = 1 n 1 n n O n {a n } n a n α {a n } α {a ... A a a a 3 a n {a n } a a n n 3 n n n 0 a n = n n n O 3 4 5 6 n {a n } n a n α {a n } α {a n } α α {a n } a n n a n α a n = α n n 0 n = 0 3 4. ()..0.00 + (0.) n () 0. 0.0 0.00 ( 0.) n 0 0 c c c c c

More information

1

1 1 2 3 4 5 RESISTOR TUNABLE FILTER 6 LR-SERIES 1 1 2 3 4 5 6 7.1.1 1 1 1 RF1 CF1 RF2 CF2 INPUT 14 15 16 17 18 19 2 21 22 23 24 25 26 27 28 29 3 9 8 7 6 5 4 3 2 1 84 83 82 81 8 79 78 77 R R CF CF 56k R R

More information

note4.dvi

note4.dvi 10 016 6 0 4 (quantum wire) 4.1 4.1.1.6.1, 4.1(a) V Q N dep ( ) 4.1(b) w σ E z (d) E z (d) = σ [ ( ) ( )] x w/ x+w/ π+arctan arctan πǫǫ 0 d d (4.1) à ƒq [ƒg w ó R w d V( x) QŽŸŒ³ džq x (a) (b) 4.1 (a)

More information

完成卒論.PDF

完成卒論.PDF LAN 4 9920449 2 0 LAN Bluetooth LAN 1 LAN LAN LAN LAN 2 LAN Bluetooth LAN Bluetooth 3 Bluetooth 4 Bluetooth 5 Bluetooth Bluetooth 6 LAN Bluetooth LAN LocalAreaNetwork 1 LAN LAN LAN LAN Ethernet Ethernet

More information

1 1.1 H = µc i c i + c i t ijc j + 1 c i c j V ijklc k c l (1) V ijkl = V jikl = V ijlk = V jilk () t ij = t ji, V ijkl = V lkji (3) (1) V 0 H mf = µc

1 1.1 H = µc i c i + c i t ijc j + 1 c i c j V ijklc k c l (1) V ijkl = V jikl = V ijlk = V jilk () t ij = t ji, V ijkl = V lkji (3) (1) V 0 H mf = µc 013 6 30 BCS 1 1.1........................ 1................................ 3 1.3............................ 3 1.4............................... 5 1.5.................................... 5 6 3 7 4 8

More information

sikepuri.dvi

sikepuri.dvi 2009 2 2 2. 2.. F(s) G(s) H(s) G(s) F(s) H(s) F(s),G(s) H(s) : V (s) Z(s)I(s) I(s) Y (s)v (s) Z(s): Y (s): 2: ( ( V V 2 I I 2 ) ( ) ( Z Z 2 Z 2 Z 22 ) ( ) ( Y Y 2 Y 2 Y 22 ( ) ( ) Z Z 2 Y Y 2 : : Z 2 Z

More information

p03.dvi

p03.dvi 3 : 1 ( ). (.. ), : 2 (1, 2 ),,, etc... 1, III ( ) ( ). : 3 ,., III. : 4 ,Weierstrass : Rudin, Principles of Mathematical Analysis, 3/e, McGraw-Hil, 1976.. Weierstrass (Stone-Weierstrass, ),,. : 5 2π f

More information

ds2.dvi

ds2.dvi 1 Fourier 2 : Fourier s(t) Fourier S(!) = s(t) = 1 s(t)e j!t dt (1) S(!)e j!t d! (2) 1 1 s(t) S(!) S(!) =S Λ (!) Λ js T (!)j 2 P (!) = lim T!1 T S T (!) = T=2 T=2 (3) s(t)e j!t dt (4) T P (!) Fourier P

More information

#A A A F, F d F P + F P = d P F, F y P F F x A.1 ( α, 0), (α, 0) α > 0) (x, y) (x + α) 2 + y 2, (x α) 2 + y 2 d (x + α)2 + y 2 + (x α) 2 + y 2 =

#A A A F, F d F P + F P = d P F, F y P F F x A.1 ( α, 0), (α, 0) α > 0) (x, y) (x + α) 2 + y 2, (x α) 2 + y 2 d (x + α)2 + y 2 + (x α) 2 + y 2 = #A A A. F, F d F P + F P = d P F, F P F F A. α, 0, α, 0 α > 0, + α +, α + d + α + + α + = d d F, F 0 < α < d + α + = d α + + α + = d d α + + α + d α + = d 4 4d α + = d 4 8d + 6 http://mth.cs.kitmi-it.c.jp/

More information

ver.1 / c /(13)

ver.1 / c /(13) 1 -- 11 1 c 2010 1/(13) 1 -- 11 -- 1 1--1 1--1--1 2009 3 t R x R n 1 ẋ = f(t, x) f = ( f 1,, f n ) f x(t) = ϕ(x 0, t) x(0) = x 0 n f f t 1--1--2 2009 3 q = (q 1,..., q m ), p = (p 1,..., p m ) x = (q,

More information

x (x, ) x y (, y) iy x y z = x + iy (x, y) (r, θ) r = x + y, θ = tan ( y ), π < θ π x r = z, θ = arg z z = x + iy = r cos θ + ir sin θ = r(cos θ + i s

x (x, ) x y (, y) iy x y z = x + iy (x, y) (r, θ) r = x + y, θ = tan ( y ), π < θ π x r = z, θ = arg z z = x + iy = r cos θ + ir sin θ = r(cos θ + i s ... x, y z = x + iy x z y z x = Rez, y = Imz z = x + iy x iy z z () z + z = (z + z )() z z = (z z )(3) z z = ( z z )(4)z z = z z = x + y z = x + iy ()Rez = (z + z), Imz = (z z) i () z z z + z z + z.. z

More information

news

news ETL NEWS 1999.9 ETL NEWS 1999.11 Establishment of an Evaluation Technique for Laser Pulse Timing Fluctuations Optoelectronics Division Hidemi Tsuchida e-mail:tsuchida@etl.go.jp A new technique has been

More information

2005年度卒業論文

2005年度卒業論文 005 GPS 107 000 GPS (Global Positioning System) GPS GPS GPS GPS GPS 1 GPS GPS 3 GPS GPS 1GPS GPS GPS 1 1.1 GPS.1.1 GPS.1. GPS 3.1.3 9.1.4 11.1.5 13. 14..1 14.. 14..3 15..4 17 1) 17 ) 17 3) 18..5 19.4 GPS

More information

( ) ) ) ) 5) 1 J = σe 2 6) ) 9) 1955 Statistical-Mechanical Theory of Irreversible Processes )

( ) ) ) ) 5) 1 J = σe 2 6) ) 9) 1955 Statistical-Mechanical Theory of Irreversible Processes ) ( 3 7 4 ) 2 2 ) 8 2 954 2) 955 3) 5) J = σe 2 6) 955 7) 9) 955 Statistical-Mechanical Theory of Irreversible Processes 957 ) 3 4 2 A B H (t) = Ae iωt B(t) = B(ω)e iωt B(ω) = [ Φ R (ω) Φ R () ] iω Φ R (t)

More information

n ξ n,i, i = 1,, n S n ξ n,i n 0 R 1,.. σ 1 σ i .10.14.15 0 1 0 1 1 3.14 3.18 3.19 3.14 3.14,. ii 1 1 1.1..................................... 1 1............................... 3 1.3.........................

More information

振動工学に基礎

振動工学に基礎 Ky Words. ω. ω.3 osω snω.4 ω snω ω osω.5 .6 ω osω snω.7 ω ω ( sn( ω φ.7 ( ω os( ω φ.8 ω ( ω sn( ω φ.9 ω anφ / ω ω φ ω T ω T s π T π. ω Hz ω. T π π rad/s π ω π T. T ω φ 6. 6. 4. 4... -... -. -4. -4. -6.

More information

main.dvi

main.dvi 3 Discrete Fourie Transform: DFT DFT 3.1 3.1.1 x(n) X(e jω ) X(e jω )= x(n)e jωnt (3.1) n= X(e jω ) N X(k) ωt f 2π f s N X(k) =X(e j2πk/n )= x(n)e j2πnk/n, k N 1 (3.2) n= X(k) δ X(e jω )= X(k)δ(ωT 2πk

More information

main.dvi

main.dvi 6 FIR FIR FIR FIR 6.1 FIR 6.1.1 H(e jω ) H(e jω )= H(e jω ) e jθ(ω) = H(e jω ) (cos θ(ω)+jsin θ(ω)) (6.1) H(e jω ) θ(ω) θ(ω) = KωT, K > 0 (6.2) 6.1.2 6.1 6.1 FIR 123 6.1 H(e jω 1, ω

More information

P361

P361 ΣAD -RFDAC - High-Speed Continuous-Time Bandpass ΣAD Modulator Architecture Employing Sub-Sampling Technnique with 376-8515 1-5-1 Masafumi Uemori Tomonari Ichikawa Haruo Kobayashi Department of Electronic

More information

1 3 1.1.......................... 3 1............................... 3 1.3....................... 5 1.4.......................... 6 1.5........................ 7 8.1......................... 8..............................

More information

φ s i = m j=1 f x j ξ j s i (1)? φ i = φ s i f j = f x j x ji = ξ j s i (1) φ 1 φ 2. φ n = m j=1 f jx j1 m j=1 f jx j2. m

φ s i = m j=1 f x j ξ j s i (1)? φ i = φ s i f j = f x j x ji = ξ j s i (1) φ 1 φ 2. φ n = m j=1 f jx j1 m j=1 f jx j2. m 2009 10 6 23 7.5 7.5.1 7.2.5 φ s i m j1 x j ξ j s i (1)? φ i φ s i f j x j x ji ξ j s i (1) φ 1 φ 2. φ n m j1 f jx j1 m j1 f jx j2. m j1 f jx jn x 11 x 21 x m1 x 12 x 22 x m2...... m j1 x j1f j m j1 x

More information

213 March 25, 213, Rev.1.5 4........................ 4........................ 6 1 8 1.1............................... 8 1.2....................... 9 2 14 2.1..................... 14 2.2............................

More information

24 I ( ) 1. R 3 (i) C : x 2 + y 2 1 = 0 (ii) C : y = ± 1 x 2 ( 1 x 1) (iii) C : x = cos t, y = sin t (0 t 2π) 1.1. γ : [a, b] R n ; t γ(t) = (x

24 I ( ) 1. R 3 (i) C : x 2 + y 2 1 = 0 (ii) C : y = ± 1 x 2 ( 1 x 1) (iii) C : x = cos t, y = sin t (0 t 2π) 1.1. γ : [a, b] R n ; t γ(t) = (x 24 I 1.1.. ( ) 1. R 3 (i) C : x 2 + y 2 1 = 0 (ii) C : y = ± 1 x 2 ( 1 x 1) (iii) C : x = cos t, y = sin t (0 t 2π) 1.1. γ : [a, b] R n ; t γ(t) = (x 1 (t), x 2 (t),, x n (t)) ( ) ( ), γ : (i) x 1 (t),

More information

Hanbury-Brown Twiss (ver. 2.0) van Cittert - Zernike mutual coherence

Hanbury-Brown Twiss (ver. 2.0) van Cittert - Zernike mutual coherence Hanbury-Brown Twiss (ver. 2.) 25 4 4 1 2 2 2 2.1 van Cittert - Zernike..................................... 2 2.2 mutual coherence................................. 4 3 Hanbury-Brown Twiss ( ) 5 3.1............................................

More information

grad φ(p ) φ P grad φ(p ) p P p φ P p l t φ l t = 0 g (0) g (0) (31) grad φ(p ) p grad φ φ (P, φ(p )) xy (x, y) = (ξ(t), η(t)) ( )

grad φ(p ) φ P grad φ(p ) p P p φ P p l t φ l t = 0 g (0) g (0) (31) grad φ(p ) p grad φ φ (P, φ(p )) xy (x, y) = (ξ(t), η(t)) ( ) 2 9 2 5 2.2.3 grad φ(p ) φ P grad φ(p ) p P p φ P p l t φ l t = g () g () (3) grad φ(p ) p grad φ φ (P, φ(p )) y (, y) = (ξ(t), η(t)) ( ) ξ (t) (t) := η (t) grad f(ξ(t), η(t)) (t) g(t) := f(ξ(t), η(t))

More information

35

35 D: 0.BUN 7 8 4 B5 6 36 6....................................... 36 6.................................... 37 6.3................................... 38 6.3....................................... 38 6.4..........................................

More information

1 1 sin cos P (primary) S (secondly) 2 P S A sin(ω2πt + α) A ω 1 ω α V T m T m 1 100Hz m 2 36km 500Hz. 36km 1

1 1 sin cos P (primary) S (secondly) 2 P S A sin(ω2πt + α) A ω 1 ω α V T m T m 1 100Hz m 2 36km 500Hz. 36km 1 sin cos P (primary) S (secondly) 2 P S A sin(ω2πt + α) A ω ω α 3 3 2 2V 3 33+.6T m T 5 34m Hz. 34 3.4m 2 36km 5Hz. 36km m 34 m 5 34 + m 5 33 5 =.66m 34m 34 x =.66 55Hz, 35 5 =.7 485.7Hz 2 V 5Hz.5V.5V V

More information

http://www.ike-dyn.ritsumei.ac.jp/ hyoo/wave.html 1 1, 5 3 1.1 1..................................... 3 1.2 5.1................................... 4 1.3.......................... 5 1.4 5.2, 5.3....................

More information

画像工学特論

画像工学特論 .? (x i, y i )? (x(t), y(t))? (x(t)) (X(ω)) Wiener-Khintchine 35/97 . : x(t) = X(ω)e jωt dω () π X(ω) = x(t)e jωt dt () X(ω) S(ω) = lim (3) ω S(ω)dω X(ω) : F of x : [X] [ = ] [x t] Power spectral density

More information

LT 低コスト、シャットダウン機能付き デュアルおよびトリプル300MHz 電流帰還アンプ

LT 低コスト、シャットダウン機能付き デュアルおよびトリプル300MHz 電流帰還アンプ µ µ LT1398/LT1399 V IN A R G 00Ω CHANNEL A SELECT EN A R F 3Ω B C 97.6Ω CABLE V IN B R G 00Ω EN B R F 3Ω 97.6Ω V OUT OUTPUT (00mV/DIV) EN C V IN C 97.6Ω R G 00Ω R F 3Ω 1399 TA01 R F = R G = 30Ω f = 30MHz

More information

KENZOU

KENZOU KENZOU 2008 8 9 5 1 2 3 4 2 5 6 2 6.1......................................... 2 6.2......................................... 2 6.3......................................... 4 7 5 8 6 8.1.................................................

More information

デジタル通信を支える無線技術

デジタル通信を支える無線技術 Aug. 02, 2008 Copyright 2008 Niigata Internet SOCiety & I.Suzuki All Rights Reserved. 2 1. LAN 2. 3. LAN 4. 802.11 3 4 1. LAN 2. 3. LAN 4. 802.11 5 WMAN 50Km WiMax WLAN 100m 802.11 WPAN 10m ZigBee Bluetooth

More information

TOP URL 1

TOP URL   1 TOP URL http://amonphys.web.fc.com/ 3.............................. 3.............................. 4.3 4................... 5.4........................ 6.5........................ 8.6...........................7

More information

Mott散乱によるParity対称性の破れを検証

Mott散乱によるParity対称性の破れを検証 Mott Parity P2 Mott target Mott Parity Parity Γ = 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 t P P ),,, ( 3 2 1 0 1 γ γ γ γ γ γ ν ν µ µ = = Γ 1 : : : Γ P P P P x x P ν ν µ µ vector axial vector ν ν µ µ γ γ Γ ν γ

More information

IEEE ZigBee 2.4GHz 250kbps O-QPSK DSSS Bluetooth IEEE GHz 3Mbps G-FSK FHSS PC LAN IEEE b 2.4GHz 11Mbps CCK DSSS LAN LAN IEE

IEEE ZigBee 2.4GHz 250kbps O-QPSK DSSS Bluetooth IEEE GHz 3Mbps G-FSK FHSS PC LAN IEEE b 2.4GHz 11Mbps CCK DSSS LAN LAN IEE SMK SMK Corporation Kenji OTSUKA AV AV RF 2.4GHz ISM 2.4GHz ISM 2.4GHz RF IEEE 802.15.4 ZigBee 2.4GHz 250kbps O-QPSK DSSS Bluetooth IEEE 802.15.1 2.4GHz 3Mbps G-FSK FHSS PC LAN IEEE 802.11b 2.4GHz 11Mbps

More information

TOP URL 1

TOP URL   1 TOP URL http://amonphys.web.fc.com/ 1 19 3 19.1................... 3 19.............................. 4 19.3............................... 6 19.4.............................. 8 19.5.............................

More information

,. Black-Scholes u t t, x c u 0 t, x x u t t, x c u t, x x u t t, x + σ x u t, x + rx ut, x rux, t 0 x x,,.,. Step 3, 7,,, Step 6., Step 4,. Step 5,,.

,. Black-Scholes u t t, x c u 0 t, x x u t t, x c u t, x x u t t, x + σ x u t, x + rx ut, x rux, t 0 x x,,.,. Step 3, 7,,, Step 6., Step 4,. Step 5,,. 9 α ν β Ξ ξ Γ γ o δ Π π ε ρ ζ Σ σ η τ Θ θ Υ υ ι Φ φ κ χ Λ λ Ψ ψ µ Ω ω Def, Prop, Th, Lem, Note, Remark, Ex,, Proof, R, N, Q, C [a, b {x R : a x b} : a, b {x R : a < x < b} : [a, b {x R : a x < b} : a,

More information

v_-3_+2_1.eps

v_-3_+2_1.eps I 9-9 (3) 9 9, x, x (t)+a(t)x (t)+b(t)x(t) = f(t) (9), a(t), b(t), f(t),,, f(t),, a(t), b(t),,, x (t)+ax (t)+bx(t) = (9),, x (t)+ax (t)+bx(t) = f(t) (93), b(t),, b(t) 9 x (t), x (t), x (t)+a(t)x (t)+b(t)x(t)

More information

214 March 31, 214, Rev.2.1 4........................ 4........................ 5............................. 7............................... 7 1 8 1.1............................... 8 1.2.......................

More information

( ) ( )

( ) ( ) 20 21 2 8 1 2 2 3 21 3 22 3 23 4 24 5 25 5 26 6 27 8 28 ( ) 9 3 10 31 10 32 ( ) 12 4 13 41 0 13 42 14 43 0 15 44 17 5 18 6 18 1 1 2 2 1 2 1 0 2 0 3 0 4 0 2 2 21 t (x(t) y(t)) 2 x(t) y(t) γ(t) (x(t) y(t))

More information

F S S S S S S S 32 S S S 32: S S rot F ds = F d l (63) S S S 0 F rot F ds = 0 S (63) S rot F S S S S S rot F F (63)

F S S S S S S S 32 S S S 32: S S rot F ds = F d l (63) S S S 0 F rot F ds = 0 S (63) S rot F S S S S S rot F F (63) 211 12 1 19 2.9 F 32 32: rot F d = F d l (63) F rot F d = 2.9.1 (63) rot F rot F F (63) 12 2 F F F (63) 33 33: (63) rot 2.9.2 (63) I = [, 1] [, 1] 12 3 34: = 1 2 1 2 1 1 = C 1 + C C 2 2 2 = C 2 + ( C )

More information

[ ] [ ] [ ] [ ] [ ] [ ] ADC

[ ] [ ] [ ] [ ] [ ] [ ] ADC [ ] [ ] [ ] [ ] [ ] [ ] ADC BS1 m1 PMT m2 BS2 PMT1 PMT ADC PMT2 α PMT α α = n ω n n Pn TMath::Poisson(x,[0]) 0.35 0.3 0.25 0.2 0.15 λ 1.5 ω n 2 = ( α 2 ) n n! e α 2 α 2 = λ = λn n! e λ Poisson Pn 0.1

More information

講義ノート 物性研究 電子版 Vol.3 No.1, (2013 年 T c µ T c Kammerlingh Onnes 77K ρ 5.8µΩcm 4.2K ρ 10 4 µωcm σ 77K ρ 4.2K σ σ = ne 2 τ/m τ 77K

講義ノート 物性研究 電子版 Vol.3 No.1, (2013 年 T c µ T c Kammerlingh Onnes 77K ρ 5.8µΩcm 4.2K ρ 10 4 µωcm σ 77K ρ 4.2K σ σ = ne 2 τ/m τ 77K 2 2 T c µ T c 1 1.1 1911 Kammerlingh Onnes 77K ρ 5.8µΩcm 4.2K ρ 1 4 µωcm σ 77K ρ 4.2K σ σ = ne 2 τ/m τ 77K τ 4.2K σ 58 213 email:takada@issp.u-tokyo.ac.jp 1933 Meissner Ochsenfeld λ = 1 5 cm B = χ B =

More information

橡実験IIINMR.PDF

橡実験IIINMR.PDF (NMR) 0 (NMR) 2µH hω ω 1 h 2 1 1-1 NMR NMR h I µ = γµ N 1-2 1 H 19 F Ne µ = Neh 2mc ( 1) N 2 ( ) I =1/2 I =3/2 I z =+1/2 I z = 1/2 γh H>0 2µH H=0 µh I z =+3/2 I z =+1/2 I z = 1/2 I z = 3/2 γh H>0 2µH H=0

More information

untitled

untitled ( 9:: 3:6: (k 3 45 k F m tan 45 k 45 k F m tan S S F m tan( 6.8k tan k F m ( + k tan 373 S S + Σ Σ 3 + Σ os( sin( + Σ sin( os( + sin( os( p z ( γ z + K pzdz γ + K γ K + γ + 9 ( 9 (+ sin( sin { 9 ( } 4

More information

[1.1] r 1 =10e j(ωt+π/4), r 2 =5e j(ωt+π/3), r 3 =3e j(ωt+π/6) ~r = ~r 1 + ~r 2 + ~r 3 = re j(ωt+φ) =(10e π 4 j +5e π 3 j +3e π 6 j )e jωt

[1.1] r 1 =10e j(ωt+π/4), r 2 =5e j(ωt+π/3), r 3 =3e j(ωt+π/6) ~r = ~r 1 + ~r 2 + ~r 3 = re j(ωt+φ) =(10e π 4 j +5e π 3 j +3e π 6 j )e jωt 3.4.7 [.] =e j(t+/4), =5e j(t+/3), 3 =3e j(t+/6) ~ = ~ + ~ + ~ 3 = e j(t+φ) =(e 4 j +5e 3 j +3e 6 j )e jt = e jφ e jt cos φ =cos 4 +5cos 3 +3cos 6 =.69 sin φ =sin 4 +5sin 3 +3sin 6 =.9 =.69 +.9 =7.74 [.]

More information

untitled

untitled MRR Physical Basis( 1.8.4) METEK MRR 1 MRR 1.1 MRR 24GHz FM-CW(frequency module continuous wave) 30 r+ r f+ f 1.2 1 4 MRR 24GHz 1.3 50mW 1 rf- (waveguide) (horn) 60cm ( monostatic radar) (continuous wave)

More information

() (, y) E(, y) () E(, y) (3) q ( ) () E(, y) = k q q (, y) () E(, y) = k r r (3).3 [.7 ] f y = f y () f(, y) = y () f(, y) = tan y y ( ) () f y = f y

() (, y) E(, y) () E(, y) (3) q ( ) () E(, y) = k q q (, y) () E(, y) = k r r (3).3 [.7 ] f y = f y () f(, y) = y () f(, y) = tan y y ( ) () f y = f y 5. [. ] z = f(, y) () z = 3 4 y + y + 3y () z = y (3) z = sin( y) (4) z = cos y (5) z = 4y (6) z = tan y (7) z = log( + y ) (8) z = tan y + + y ( ) () z = 3 8y + y z y = 4 + + 6y () z = y z y = (3) z =

More information

2005 2006.2.22-1 - 1 Fig. 1 2005 2006.2.22-2 - Element-Free Galerkin Method (EFGM) Meshless Local Petrov-Galerkin Method (MLPGM) 2005 2006.2.22-3 - 2 MLS u h (x) 1 p T (x) = [1, x, y]. (1) φ(x) 0.5 φ(x)

More information

AC Modeling and Control of AC Motors Seiji Kondo, Member 1. q q (1) PM (a) N d q Dept. of E&E, Nagaoka Unive

AC Modeling and Control of AC Motors Seiji Kondo, Member 1. q q (1) PM (a) N d q Dept. of E&E, Nagaoka Unive AC Moeling an Control of AC Motors Seiji Kono, Member 1. (1) PM 33 54 64. 1 11 1(a) N 94 188 163 1 Dept. of E&E, Nagaoka University of Technology 163 1, Kamitomioka-cho, Nagaoka, Niigata 94 188 (a) 巻数

More information

kawa (Spin-Orbit Tomography: Kawahara and Fujii 21,Kawahara and Fujii 211,Fujii & Kawahara submitted) 2 van Cittert-Zernike Appendix A V 2

kawa (Spin-Orbit Tomography: Kawahara and Fujii 21,Kawahara and Fujii 211,Fujii & Kawahara submitted) 2 van Cittert-Zernike Appendix A V 2 Hanbury-Brown Twiss (ver. 1.) 24 2 1 1 1 2 2 2.1 van Cittert - Zernike..................................... 2 2.2 mutual coherence................................. 3 3 Hanbury-Brown Twiss ( ) 4 3.1............................................

More information

PDF

PDF 1 1 1 1-1 1 1-9 1-3 1-1 13-17 -3 6-4 6 3 3-1 35 3-37 3-3 38 4 4-1 39 4- Fe C TEM 41 4-3 C TEM 44 4-4 Fe TEM 46 4-5 5 4-6 5 5 51 6 5 1 1-1 1991 1,1 multiwall nanotube 1993 singlewall nanotube ( 1,) sp 7.4eV

More information

006 11 8 0 3 1 5 1.1..................... 5 1......................... 6 1.3.................... 6 1.4.................. 8 1.5................... 8 1.6................... 10 1.6.1......................

More information

1 911 9001030 9:00 A B C D E F G H I J K L M 1A0900 1B0900 1C0900 1D0900 1E0900 1F0900 1G0900 1H0900 1I0900 1J0900 1K0900 1L0900 1M0900 9:15 1A0915 1B0915 1C0915 1D0915 1E0915 1F0915 1G0915 1H0915 1I0915

More information

positron 1930 Dirac 1933 Anderson m 22Na(hl=2.6years), 58Co(hl=71days), 64Cu(hl=12hour) 68Ge(hl=288days) MeV : thermalization m psec 100

positron 1930 Dirac 1933 Anderson m 22Na(hl=2.6years), 58Co(hl=71days), 64Cu(hl=12hour) 68Ge(hl=288days) MeV : thermalization m psec 100 positron 1930 Dirac 1933 Anderson m 22Na(hl=2.6years), 58Co(hl=71days), 64Cu(hl=12hour) 68Ge(hl=288days) 0.5 1.5MeV : thermalization 10 100 m psec 100psec nsec E total = 2mc 2 + E e + + E e Ee+ Ee-c mc

More information

[I486S] 暗号プロトコル理論

[I486S]  暗号プロトコル理論 [I486S] 2018 5 1 (JAIST) 2018 5 1 1 / 22 : I486S I URL:https://wwwjaistacjp/~fujisaki/i486S (Tuesdays) 5 17:10 18:50 4/17, 4/24, 5/1, 5/15, 5/22, 5/29, 6/5, 6/19, 6/26, 7/3, 7/10, 7/17, 7/24, 7/31 (JAIST)

More information

power.tex

power.tex Contents ii 1... 1... 1... 7... 7 3 (DFFT).................................... 8 4 (CIFT) DFFT................................ 10 5... 13 6... 16 3... 0 4... 0 5... 0 6... 0 i 1987 SN1987A 0.5 X SN1987A

More information

9 2 1 f(x, y) = xy sin x cos y x y cos y y x sin x d (x, y) = y cos y (x sin x) = y cos y(sin x + x cos x) x dx d (x, y) = x sin x (y cos y) = x sin x

9 2 1 f(x, y) = xy sin x cos y x y cos y y x sin x d (x, y) = y cos y (x sin x) = y cos y(sin x + x cos x) x dx d (x, y) = x sin x (y cos y) = x sin x 2009 9 6 16 7 1 7.1 1 1 1 9 2 1 f(x, y) = xy sin x cos y x y cos y y x sin x d (x, y) = y cos y (x sin x) = y cos y(sin x + x cos x) x dx d (x, y) = x sin x (y cos y) = x sin x(cos y y sin y) y dy 1 sin

More information

高速データ変換

高速データ変換 Application Report JAJA206 V+ R 5 V BIAS Q 6 Q R R 2 Q 2 Q 4 R 4 R 3 Q 3 V BIAS2 Q 5 R 6 V Ω Q V GS + R Q 4 V+ Q 2 Q 3 + V BE V R 2 Q 5 R Op Amp + Q 6 V BE R 3 Q 7 R 4 R 2 A A 2 Buffer 2 ± Ω Ω R G V+ Q.4.2

More information

<4D F736F F D B B83578B6594BB2D834A836F815B82D082C88C60202E646F63>

<4D F736F F D B B83578B6594BB2D834A836F815B82D082C88C60202E646F63> 単純適応制御 SAC サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/091961 このサンプルページの内容は, 初版 1 刷発行当時のものです. 1 2 3 4 5 9 10 12 14 15 A B F 6 8 11 13 E 7 C D URL http://www.morikita.co.jp/support

More information

数値計算:フーリエ変換

数値計算:フーリエ変換 ( ) 1 / 72 1 8 2 3 4 ( ) 2 / 72 ( ) 3 / 72 ( ) 4 / 72 ( ) 5 / 72 sample.m Fs = 1000; T = 1/Fs; L = 1000; t = (0:L-1)*T; % Sampling frequency % Sample time % Length of signal % Time vector y=1+0.7*sin(2*pi*50*t)+sin(2*pi*120*t)+2*randn(size(t));

More information

A (1) = 4 A( 1, 4) 1 A 4 () = tan A(0, 0) π A π

A (1) = 4 A( 1, 4) 1 A 4 () = tan A(0, 0) π A π 4 4.1 4.1.1 A = f() = f() = a f (a) = f() (a, f(a)) = f() (a, f(a)) f(a) = f 0 (a)( a) 4.1 (4, ) = f() = f () = 1 = f (4) = 1 4 4 (4, ) = 1 ( 4) 4 = 1 4 + 1 17 18 4 4.1 A (1) = 4 A( 1, 4) 1 A 4 () = tan

More information

LLG-R8.Nisus.pdf

LLG-R8.Nisus.pdf d M d t = γ M H + α M d M d t M γ [ 1/ ( Oe sec) ] α γ γ = gµ B h g g µ B h / π γ g = γ = 1.76 10 [ 7 1/ ( Oe sec) ] α α = λ γ λ λ λ α γ α α H α = γ H ω ω H α α H K K H K / M 1 1 > 0 α 1 M > 0 γ α γ =

More information

? FPGA FPGA FPGA : : : ? ( ) (FFT) ( ) (Localization) ? : 0. 1 2 3 0. 4 5 6 7 3 8 6 1 5 4 9 2 0. 0 5 6 0 8 8 ( ) ? : LU Ax = b LU : Ax = 211 410 221 x 1 x 2 x 3 = 1 0 0 21 1 2 1 0 0 1 2 x = LUx = b 1 31

More information

2016 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 1 16 2 1 () X O 3 (O1) X O, O (O2) O O (O3) O O O X (X, O) O X X (O1), (O2), (O3) (O2) (O3) n (O2) U 1,..., U n O U k O k=1 (O3) U λ O( λ Λ) λ Λ U λ O 0 X 0 (O2) n =

More information

S I. dy fx x fx y fx + C 3 C dy fx 4 x, y dy v C xt y C v e kt k > xt yt gt [ v dt dt v e kt xt v e kt + C k x v + C C k xt v k 3 r r + dr e kt S dt d

S I. dy fx x fx y fx + C 3 C dy fx 4 x, y dy v C xt y C v e kt k > xt yt gt [ v dt dt v e kt xt v e kt + C k x v + C C k xt v k 3 r r + dr e kt S dt d S I.. http://ayapin.film.s.dendai.ac.jp/~matuda /TeX/lecture.html PDF PS.................................... 3.3.................... 9.4................5.............. 3 5. Laplace................. 5....

More information

QMII_10.dvi

QMII_10.dvi 65 1 1.1 1.1.1 1.1 H H () = E (), (1.1) H ν () = E ν () ν (). (1.) () () = δ, (1.3) μ () ν () = δ(μ ν). (1.4) E E ν () E () H 1.1: H α(t) = c (t) () + dνc ν (t) ν (), (1.5) H () () + dν ν () ν () = 1 (1.6)

More information

春期講座 ~ 極限 1 1, 1 2, 1 3, 1 4,, 1 n, n n {a n } n a n α {a n } α {a n } α lim n an = α n a n α α {a n } {a n } {a n } 1. a n = 2 n {a n } 2, 4, 8, 16,

春期講座 ~ 極限 1 1, 1 2, 1 3, 1 4,, 1 n, n n {a n } n a n α {a n } α {a n } α lim n an = α n a n α α {a n } {a n } {a n } 1. a n = 2 n {a n } 2, 4, 8, 16, 春期講座 ~ 極限 1 1, 1 2, 1 3, 1 4,, 1 n, n n {a n } n a n α {a n } α {a n } α lim an = α n a n α α {a n } {a n } {a n } 1. a n = 2 n {a n } 2, 4, 8, 16, 32, n a n {a n } {a n } 2. a n = 10n + 1 {a n } lim an

More information

II No.01 [n/2] [1]H n (x) H n (x) = ( 1) r n! r!(n 2r)! (2x)n 2r. r=0 [2]H n (x) n,, H n ( x) = ( 1) n H n (x). [3] H n (x) = ( 1) n dn x2 e dx n e x2

II No.01 [n/2] [1]H n (x) H n (x) = ( 1) r n! r!(n 2r)! (2x)n 2r. r=0 [2]H n (x) n,, H n ( x) = ( 1) n H n (x). [3] H n (x) = ( 1) n dn x2 e dx n e x2 II No.1 [n/] [1]H n x) H n x) = 1) r n! r!n r)! x)n r r= []H n x) n,, H n x) = 1) n H n x) [3] H n x) = 1) n dn x e dx n e x [4] H n+1 x) = xh n x) nh n 1 x) ) d dx x H n x) = H n+1 x) d dx H nx) = nh

More information

24 10 10 1 2 1.1............................ 2 2 3 3 8 3.1............................ 8 3.2............................ 8 3.3.............................. 11 3.4........................ 12 3.5.........................

More information

9 5 ( α+ ) = (α + ) α (log ) = α d = α C d = log + C C 5. () d = 4 d = C = C = 3 + C 3 () d = d = C = C = 3 + C 3 =

9 5 ( α+ ) = (α + ) α (log ) = α d = α C d = log + C C 5. () d = 4 d = C = C = 3 + C 3 () d = d = C = C = 3 + C 3 = 5 5. 5.. A II f() f() F () f() F () = f() C (F () + C) = F () = f() F () + C f() F () G() f() G () = F () 39 G() = F () + C C f() F () f() F () + C C f() f() d f() f() C f() f() F () = f() f() f() d =

More information

( ) ) AGD 2) 7) 1

( ) ) AGD 2) 7) 1 ( 9 5 6 ) ) AGD ) 7) S. ψ (r, t) ψ(r, t) (r, t) Ĥ ψ(r, t) = e iĥt/ħ ψ(r, )e iĥt/ħ ˆn(r, t) = ψ (r, t)ψ(r, t) () : ψ(r, t)ψ (r, t) ψ (r, t)ψ(r, t) = δ(r r ) () ψ(r, t)ψ(r, t) ψ(r, t)ψ(r, t) = (3) ψ (r,

More information

Black-Scholes [1] Nelson [2] Schrödinger 1 Black Scholes [1] Black-Scholes Nelson [2][3][4] Schrödinger Nelson Parisi Wu [5] Nelson Parisi-W

Black-Scholes [1] Nelson [2] Schrödinger 1 Black Scholes [1] Black-Scholes Nelson [2][3][4] Schrödinger Nelson Parisi Wu [5] Nelson Parisi-W 003 7 14 Black-Scholes [1] Nelson [] Schrödinger 1 Black Scholes [1] Black-Scholes Nelson [][3][4] Schrödinger Nelson Parisi Wu [5] Nelson Parisi-Wu Nelson e-mail: takatoshi-tasaki@nifty.com kabutaro@mocha.freemail.ne.jp

More information

untitled

untitled 8- My + Cy + Ky = f () t 8. C f () t ( t) = Ψq( t) () t = Ψq () t () t = Ψq () t = ( q q ) ; = [ ] y y y q Ψ φ φ φ = ( ϕ, ϕ, ϕ,3 ) 8. ψ Ψ MΨq + Ψ CΨq + Ψ KΨq = Ψ f ( t) Ψ MΨ = I; Ψ CΨ = C; Ψ KΨ = Λ; q

More information