请分别写一段维纳滤波语音调制，相干和非相干解调的matlab代码

维纳滤波语音调制的MATLAB代码：

% Load the noisy speech signal
[y,Fs] = audioread('noisy_speech.wav');

% Define the length of the filter
L = 200;

% Define the noise variance
noise_var = 0.01;

% Calculate the noise power spectrum
Y = abs(fft(y));
N = Y.^2 - noise_var;
N(N < 0) = 0;

% Calculate the Wiener filter coefficients
H = conj(Y) ./ (conj(Y).*Y + noise_var*ones(size(Y)));

% Apply the Wiener filter to the noisy speech signal
y_hat = ifft(H.*fft(y));

% Save the filtered speech signal
audiowrite('filtered_speech.wav', y_hat, Fs);

相干解调的MATLAB代码：

% Load the modulated signal
y = load('modulated_signal.mat');

% Define the carrier frequency
fc = 1000;

% Define the sampling frequency
Fs = 8000;

% Generate the carrier signal
t = 0:1/Fs:length(y)/Fs-1/Fs;
c = cos(2*pi*fc*t);

% Multiply the modulated signal and the carrier signal
z = y.*c';

% Apply a lowpass filter to the demodulated signal
[b,a] = butter(6,fc/(Fs/2));
x = filter(b,a,z);

% Save the demodulated signal
save('demodulated_signal.mat','x');

非相干解调的MATLAB代码：

% Load the modulated signal
y = load('modulated_signal.mat');

% Define the carrier frequency
fc = 1000;

% Define the sampling frequency
Fs = 8000;

% Generate the carrier signal
t = 0:1/Fs:length(y)/Fs-1/Fs;
c = cos(2*pi*fc*t);

% Generate the quadrature carrier signal
s = sin(2*pi*fc*t);

% Multiply the modulated signal and the carrier signals
z1 = y.*c';
z2 = y.*s';

% Apply lowpass filters to the demodulated signals
[b,a] = butter(6,fc/(Fs/2));
x1 = filter(b,a,z1);
x2 = filter(b,a,z2);

% Calculate the magnitude of the demodulated signal
x = sqrt(x1.^2 + x2.^2);

% Save the demodulated signal
save('demodulated_signal.mat','x');