Prashant Kumar answered . 2024-05-10 14:07:38

[signal, fs] = audioread('your_audio_file.wav');

• signal contains the imported audio data.
• fs is the sampling frequency of the audio file.

filtered_signal = filter(b, 1, signal);

sound(signal, fs);

To play the filtered audio:

sound(filtered_signal, fs);

subplot(2,1,1);
plot(signal);
title('Original Audio Signal');
xlabel('Sample Number');
ylabel('Amplitude');

subplot(2,1,2);
plot(filtered_signal);
title('Filtered Audio Signal');
xlabel('Sample Number');
ylabel('Amplitude');

Frequency Spectrum:You can also visualize the frequency spectrum of your audio signal using the Fourier Transform.

L = length(signal); % Length of the signal
Y = fft(signal); % Fast Fourier Transform of the original signal
P2 = abs(Y/L); % Two-sided spectrum
P1 = P2(1:L/2+1); % Single-sided spectrum
P1(2:end-1) = 2*P1(2:end-1);
f = fs*(0:(L/2))/L;
plot(f, P1);
title('Single-Sided Amplitude Spectrum of Original Audio');
xlabel('Frequency (Hz)');
ylabel('|P1(f)|');

audiowrite('filtered_audio.wav', filtered_signal, fs);

• Use the Filter Designer tool to export the filter coefficients.
• Implement the FIR filter in your Altera FPGA Cyclone IV using the FIR II IP core, as you planned.
• Load the coefficients into the FPGA and test with real-time data from the microphone.

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