How can I implement FFT (y-axis:Power, x-axis:Frequency) with 4 cases: Lowpass/Highpass/Band/Notch
4 次查看(过去 30 天)
显示 更早的评论
Hi,
Currently I implement FFT (y-axis:Power, x-axis:Frequency) as below: (based on http://www.mathworks.com/help/matlab/math/fast-fourier-transform-fft.html)
d1=-250
d2=250
data= d1 + (d2-d1).*rand(1,256)
Fs=30
m = length(data); % Window length
n = pow2(nextpow2(m)); % Transform length
y = fft(data,n); % DFT
f = (0:n-1)*(Fs/n); % Frequency range
power = y.*conj(y)/n; % Power of the DFT
plot(f,power)
xlabel('Frequency (Hz)')
ylabel('Power')
title('{\bf Periodogram}')
Currently, I don't know how to customize source code above for Lowpass/Highpass/Band/Notch.
Please help me, thanks for your support.
Best Regards,
Thuan Phan
0 个评论
采纳的回答
Carlos
2014-4-1
If you want to filter a signal in the frequency domain you just need to multiply your signals' frequency response (y in your code) by the frequency response of your filter.
In order to calcute your filter coefficients and if you have the filter design toolbox this tutorial has all the information you might need http://www.mathworks.com/tagteam/55876_digfilt.pdf
You can also design your filter using the fdatool or using the signal processing toolbox (here you can find all of the filter functions in the signal processing toolbox http://www.mathworks.es/es/help/signal/analog-filters.html)
10 个评论
Carlos
2014-4-1
There are different methods to design filters (Butterworth, Chebyshev...) Look at the examples in these pages
更多回答(1 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Analog Filters 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!