How to create a band pass filter

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Anastasiya Kobrina
回答： Jeremy 2015-6-18
Hi guys,
I would like to pass my .wav file through a band pass filter. I am not sure what order to use. To give an example- my .wav file contains USVs- aka my band is actually from 20 khz to 100 khz (beyond human hearing).
Sampling frequency is 50 kHz
fs = 50e3;
t = linspace(0,1,50e3);
% 1 kHz and 3 kHz sine waves
x = cos(2*pi*1e3*t)+0.5*sin(2*pi*3e3*t)+randn(size(t));
% Lowpass filter everything below 20 kHz
% Specify the filter
hlpf = fdesign.lowpass('Fp,Fst,Ap,Ast',20e3,20.1e3,0.5,50,50e3);
% Design the filter
D = design(hlpf);
% apply the filter
y = filter(D,x);
subplot(211)
plot(t(1:1000),x(1:1000)); title('Original Waveform');
subplot(212)
plot(t(1:1000),y(388:1000+387)); title('Filtered Waveform');
figure;
subplot(211)
plot(psd(spectrum.periodogram,x,'Fs',fs,'NFFT',length(x)));
title('Original Signal PSD');
subplot(212);
plot(psd(spectrum.periodogram,y,'Fs',fs,'NFFT',length(x)));
title('Filtered Signal PSD');

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采纳的回答

Jeremy
Jeremy 2015-6-18
you discuss a bandpass filter but you are applying a lowpass filter...
Aside from that, the order really depends on what type of data you have and what you are trying to accomplish, I know this doesn't really help. But you basically want to minimize the filter order that will meet your requirements. The higher the order, the higher the ripple and phase shift, so start low.
You are using a filter definition that defines the requirements and the filter order will be a result of those requirements. With Fp and Fst so close this will be a very high order filter.
You are also not specifying the design method, equiripple will be the default.

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