TA的每日心情 | 开心 2023-6-2 15:15 |
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签到天数: 1 天 [LV.1]初来乍到
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建议在帮助中搜fft,其范例example就是很好的例子,直接看英文原文更详细。程序如下,4 b3 f8 h* ?$ }1 D! T. k9 b
%%模拟创建需要观察的信号
6 `! x+ Y! v. s- m6 a& |Fs = 1000; % Sampling frequency6 Z, G7 p2 D- L+ o' y/ m, J: P
T = 1/Fs; % Sample time' \0 e4 |) ~/ X3 A, w, [+ k
L = 1000; % Length of signal- y8 v- Q) A% C. i, i( f
t = (0P-1)*T; % Time vector
- P; t3 T4 f8 M( _* s% Sum of a 50 Hz sinusoid and a 120 Hz sinusoid
& D4 k( F5 j: ^3 S8 Cx = 0.7*sin(2*pi*50*t) + sin(2*pi*120*t);: @4 ]8 L& f6 S% N+ D
%这里改成加个cos的就是你想要的了 幅度相位平率组合自己设置吧
: n0 c4 u! b' |7 g) w- iy = x + 2*randn(size(t)); % Sinusoids plus noise
0 e4 W1 @; W' w1 F# splot(Fs*t(1:50),y(1:50))
) `" ^& ? D& ?& r1 g( x% Z, S1 ^title('Signal Corrupted with Zero-Mean Random Noise')
1 z6 n3 F+ Z, Cxlabel('time (milliseconds)')2 a7 F9 c5 | e, q" E
%%fft观察信号的频谱图5 g4 p4 z# o% z/ S
NFFT = 2^nextpow2(L); % Next power of 2 from length of y
* N! q1 _% R) t3 ] l: PY = fft(y,NFFT)/L;1 G& R: |# k5 f% |8 j3 J1 W( u
f = Fs/2*linspace(0,1,NFFT/2+1);
5 s( {0 b3 {0 K" v* K% Plot single-sided amplitude spectrum.4 a" H0 W; K+ S' m& b5 f
plot(f,2*abs(Y(1:NFFT/2+1)))( ]: {4 L& V# S0 Z
title('Single-Sided Amplitude Spectrum of y(t)')
% x, \: x% y) f2 w1 axlabel('Frequency (Hz)')- Y- t( u8 [5 K6 j" K* K4 D
ylabel('|Y(f)|')5 A. V' d$ U s5 C
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