Use output of a loop as its input to a filter
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I am trying to build a cascade of filters so that the output of one is the input to the next one. The filters are all bandpass filters and I want to be able to have an input signal and have it run through all 32 bandpass filters in series. I also ultimately want to be able to specify a filter number to be able to look at the output after that specific filter number. This is what I have so far, I am having issues figuring out how to make the bottom loop apply the filter desgined in the top part of the code and how to make a loop which takes its own output and uses it as input. Thank you for your time! This is what I have:
close all
fs = 16e3;
numFilts = 32;
filter_number = 10;
%range = [50 8000];
CF1=linspace(50, 8000, 32) -50;
CF2=linspace(50, 8000, 32) +50;
for ii = 1:numel(CF1)-2
bpfilt{ii} = designfilt( ...
'bandpassfir', ...
'FilterOrder',20, ...
'CutoffFrequency1',CF1(ii+1), ...
'CutoffFrequency2',CF2(ii+1), ...
'SampleRate',fs);
[h{ii},f] = freqz(bpfilt{ii}.Coefficients,1,4*8192,fs);
end
figure
subplot(211)
plot(f,db(abs([h{:}])));
title('Magnitude')
ylabel('Magnitude (dB)')
xlabel('Frequency (Hz)')
subplot(212);
plot(f,180/pi*(angle([h{:}])));
title('Phase')
ylabel('Phase (degrees)')
xlabel('Frequency (Hz)')
impulse_input = 0*fs;
impulse_input(1) = 1;
for ii = 1:numFilts-1
[y,zf]=filter(impulse_input,:)
end
0 个评论
采纳的回答
Sulaymon Eshkabilov
2024-1-22
This is the code:
close all
fs = 16e3;
numFilts = 32;
filter_number = 10;
%range = [50 8000];
CF1=linspace(50, 8000, numFilts+2) -50;
CF2=linspace(50, 8000, numFilts+2) +50;
for ii = 1:numel(CF1)-2
bpfilt{ii} = designfilt( ...
'bandpassfir', ...
'FilterOrder',20, ...
'CutoffFrequency1',CF1(ii+1), ...
'CutoffFrequency2',CF2(ii+1), ...
'SampleRate',fs);
[h{ii},f] = freqz(bpfilt{ii}.Coefficients,1,4*8192,fs);
end
figure
subplot(211)
plot(f,db(abs([h{:}])));
title('Magnitude')
ylabel('Magnitude (dB)')
xlabel('Frequency (Hz)')
subplot(212);
plot(f,180/pi*(angle([h{:}])));
title('Phase')
ylabel('Phase (degrees)')
xlabel('Frequency (Hz)')
impulse_input = 0*fs;
impulse_input(1) = 1;
%%
% Reference signal with some white noise to benchmarch the created filter performances
t = linspace(0,2*pi,200);
rng(13) % Make it repeatable
x = sin(t) + 0.25*rand(size(t)); % Ref Signal with a noise
% Simulation of 1-D digital filter: x_filtered = filter(b, a, x);
a = 1;
figure
hold on
CoLoR = rand(numel(bpfilt), 3);
for ii = 1:numel(bpfilt)
[x_filtered(ii,:),zf(:,ii)]=filter(bpfilt{1, ii}.Coefficients, a, x);
plot(t,x_filtered(ii,:), 'LineWidth', 1.25, 'Color', CoLoR(ii,:))
LEGs{ii} = ['Filter # ' num2str(ii)];
legend(LEGs{:})
end
plot(t, x, 'k-', 'LineWidth', 2, 'DisplayName', 'Data')
xlabel('t')
ylabel('x(t) & x_{filtered} (t)')
grid on
legend('Show')
fprintf('Number of generated filters: %d \n', numel(bpfilt))
更多回答(1 个)
Sulaymon Eshkabilov
2024-1-22
If understood your question correctly, this is what you are trying to simulate, e.g.:
close all
fs = 16e3;
numFilts = 32;
filter_number = 10;
CF1=linspace(50, 8000, 32) -50;
CF2=linspace(50, 8000, 32) +50;
for ii = 1:numel(CF1)-2
bpfilt{ii} = designfilt( ...
'bandpassfir', ...
'FilterOrder',20, ...
'CutoffFrequency1',CF1(ii+1), ...
'CutoffFrequency2',CF2(ii+1), ...
'SampleRate',fs);
[h{ii},f] = freqz(bpfilt{ii}.Coefficients,1,4*8192,fs);
end
figure
subplot(211)
plot(f,db(abs([h{:}])));
title('Magnitude')
ylabel('Magnitude (dB)')
xlabel('Frequency (Hz)')
subplot(212);
plot(f,180/pi*(angle([h{:}])));
title('Phase')
ylabel('Phase (degrees)')
xlabel('Frequency (Hz)')
impulse_input = 0*fs;
impulse_input(1) = 1;
%%
% Create a reference signal with some white noise to benchmark the created filter performances
t = linspace(0,2*pi,200);
rng(13) % Make it repeatable
x = sin(t) + 0.25*rand(size(t)); % Ref Signal with a noise
% Simulation of 1-D digital filter: x_filtered = filter(b, a, x);
a = 1;
figure % Visualize Filter performances:
hold on
CoLoR = rand(numel(bpfilt), 3);
for ii = 1:numel(bpfilt)
[x_filtered(ii,:),zf(:,ii)]=filter(bpfilt{1, ii}.Coefficients, a, x);
plot(t,x_filtered(ii,:), 'LineWidth', 1.25, 'Color', CoLoR(ii,:))
LEGs{ii} = ['Filter # ' num2str(ii)];
legend(LEGs{:})
end
plot(t, x, 'k-', 'LineWidth', 2, 'DisplayName', 'Data')
xlabel('t')
ylabel('x(t) & x_{filtered} (t)')
grid on
legend('Show')
11 个评论
Sulaymon Eshkabilov
2024-1-22
Just copy and paste my code above and it should give you 32 filters as shown above.
All the best.
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