Compute the periodogram of a 200 Hz signal embedded in additive noise using the default window: randn('state',0); Fs = 1000; t = 0:1/Fs:.3; x = cos(2*pi*t*200)+0.1*randn(size(t));

... konulu sunumlar: "Compute the periodogram of a 200 Hz signal embedded in additive noise using the default window: randn('state',0); Fs = 1000; t = 0:1/Fs:.3; x = cos(2*pi*t*200)+0.1*randn(size(t));"— Sunum transkripti:

1 Compute the periodogram of a 200 Hz signal embedded in additive noise using the default window: randn('state',0); Fs = 1000; t = 0:1/Fs:.3; x = cos(2*pi*t*200)+0.1*randn(size(t));

2 periodogram(x,[],'twosided',512,Fs)

3 X=corrmtx(x,20); % Correlation matrix for leg = 20 imagesc(X'*X);

4 1 6 11 16 +5 +5 +5

5

6

7 x = cos(2*pi*t*400)+0.1*randn(size(t));

8

9 x = cos(2*pi*t*200)+0.4*randn(size(t)); x = cos(2*pi*t*200)+0.1*randn(size(t));

10 x = cos(2*pi*t*200)+0.8*randn(size(t)); x = cos(2*pi*t*200)+0.1*randn(size(t));

11 x = cos(2*pi*t*200)+0.8*randn(size(t)); x = cos(2*pi*t*200)+0.1*randn(size(t));

12 x = cos(2*pi*t*200)+0.8*randn(size(t)); x = cos(2*pi*t*200)+0.4*randn(size(t)); Covariance matrix

13 x = cos(2*pi*t*100)+0.4*randn(size(t)); x = cos(2*pi*t*200)+0.4*randn(size(t));

14 x = cos(2*pi*t*400)+0.4*randn(size(t)); Yukarıdaki covariance matrix, aşağıdaki işarete ait olabilir mi?

15 x = cos(2*pi*t*400)+0.4*randn(size(t));

16 AR MODEL A = [1.0000 -0.2356 0.6802 0.4158 -0.0724] a = aryule(x,4); freqz(1,a,512,'whole',Fs);

17 y = filter(1,a,x); periodogram(y,[],'twosided',512,Fs);

18 Filtrelenmiş işaretin periodogram’ı alındı. Gürültüden arındırılmış bir periodogram elde edildi. Herhangi bir filtre ile filtrelendikten sonra periodogram alınsa aynı sonuç elde edilir mi?

19 a = [1.1352 -0.3746 -0.4832 1.5995 -0.0878] y = filter(1,a,x); periodogram(y,[],'twosided',512,Fs);

20 a = [1.1352 -0.3746 -0.4832 1.5995 -0.0878] freqz(1,a,512,'whole',Fs);