FFT and smoothing of signal

74 次查看(过去 30 天)
Hi, I have the attached signal (TENS_LOW). I would like to obtained the smoothed FFT of the signal. How can I smooth the spectrum?
Thanks
  5 个评论
Adam
Adam 2017-1-16
How to smooth the spectrum depends what you want to do with it really. There are plenty of ways to do it, depending how aggressive you want to be. A simple mean filter would do if you just want aggressive smoothing, but not if you want to retain certain information in peaks etc
Isma_gp
Isma_gp 2017-1-16
sampling frequency is 0.0117

请先登录,再进行评论。

采纳的回答

Star Strider
Star Strider 2017-1-16
Now I understand what you want to do. This is most easily done with the Signal Processing Toolbox sgolayfilt function to create the Savitzky-Golay filtered spectrum.
The Code —
D = load('Isma_gp TENS_LOW.mat');
sig = D.TENS_LOW_42;
sig = sig - mean(sig); % Remove d-c Offset
L = length(sig);
Fs = 1/0.0117; % Sampling Frequency
Fn = Fs/2; % Nyquist Frequency
FTsig = fft(sig)/L;
Fv = linspace(0, 1, fix(length(FTsig)/2)+1)*Fn; % Frequency Vector
Iv = 1:length(Fv); % Index Vector
FTsiga = double(abs(FTsig(Iv))*2); % Truncate, Magnitude, Convert To Double
sgf_sm = sgolayfilt(FTsiga, 5, 501); % Create ‘sgolayfilt’ Filtered FFT
figure(1)
plot(Fv, FTsiga)
hold on
plot(Fv, sgf_sm, '-r', 'LineWidth',2)
hold off
axis([0 1 ylim])
grid
xlabel('Frequency')
ylabel('Amplitude')
legend('Original Spectrum', 'Savitzky-Golay Filtered Spectrum')
Experiment with the sgolayfilt parameters to get the result you want.
  12 个评论
SYML2nd
SYML2nd 2022-12-1
Hi @Star Strider, I think this is a brilliant solution to smooth the fft for which there are not so much other oprions to smooth it, such as for the PSD where we can use pwelch and a windowing. Are there any reference (literature) where this method of smoothing is used?
Star Strider
Star Strider 2022-12-2
@SYML2nd — Not to my knowledge, although I did not do a literature search. My approach here is essentially empirical.

请先登录,再进行评论。

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Signal Generation and Preprocessing 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by