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ICE Princess25 [194]
3 years ago
10

A noisy signal has been uploaded to D2L in the files fft_signal.mat and fft_signal.txt.Write a program to estimate the power spe

ctral density of the signal and determinethe frequency components used to construct it. Submit your code along with yourassignment. You can compare against the Matlab® built-in function pwelch to makesure your code is working properly. Note: All of the functions you will need forwindowing and computing FFTs are built into Matlab®. Your primary task will beto write the logic/loops required to use them to replicate the behavior of pwelch (i.e.power spectrum using segmenting and windowing). You can use a window size of 256.
Computers and Technology
1 answer:
77julia77 [94]3 years ago
7 0

Answer:

Answer: Program to estimate the power spectral density of the signal

Explanation:

fs= 4000; % Hz sample rate Ts= 1/fs; f0= 500; % Hz sine frequency A= sqrt(2); % V sine amplitude for P= 1 W into 1 ohm. N= 1024; % number of time samples n= 0:N-1; % time index x= A*sin(2*pi*f0*n*Ts) + .1*randn(1,N); % 1 W sinewave + noise

Spectrum in dBW/Hz

nfft= N; window= rectwin(nfft); [pxx,f]= pwelch(x,window,0,nfft,fs); % W/Hz power spectral density PdB_Hz= 10*log10(pxx); % dBW/Hz

Spectrum in dBW/bin

nfft= N; window= rectwin(nfft); [pxx,f]= pwelch(x,window,0,nfft,fs); % W/Hz power spectral density PdB_bin= 10*log10(pxx*fs/nfft); % dBW/bin

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