Final answer:
To design a MATLAB program that can modify a signal, you can write a script that applies a specific modification technique such as compression, expansion, or scaling. After modifying the signal, adopt a frequency transform method like the Fourier Transform using the fft() function in MATLAB to plot the magnitude and phase spectrum.
Step-by-step explanation:
To design a MATLAB program that can modify a signal, you can start by writing a script that reads in an audio file and applies a specific modification technique such as signal compression, expansion, or scaling. Here's an example of a script that applies signal compression:
filename = 'audio.wav';
signal = audioread(filename);
compressed_signal = signal / 2;
audiowrite('compressed_audio.wav', compressed_signal, 44100);
After modifying the signal, you can adopt a frequency transform method like the Fourier Transform using the fft() function in MATLAB. Here's an example of how to plot the magnitude and phase spectrum of the modified signal:
transformed_signal = fft(compressed_signal);
magnitude_spectrum = abs(transformed_signal);
phase_spectrum = angle(transformed_signal);
frequency_axis = linspace(0, 44100, length(magnitude_spectrum));
subplot(2, 1, 1);
plot(frequency_axis, magnitude_spectrum);
xlabel('Frequency (Hz)');
ylabel('Magnitude');
subplot(2, 1, 2);
plot(frequency_axis, phase_spectrum);
xlabel('Frequency (Hz)');
ylabel('Phase');
This script will create a two-panel plot with the magnitude spectrum on top and the phase spectrum on the bottom.