请写一段维纳滤波语音调制和解调的matlab代码

以下是一段简单的维纳滤波语音调制和解调的 Matlab 代码：

% 读取语音信号
[x,fs] = audioread('speech.wav');

% 调制频率
f_mod = 400; 

% 调制信号
m = sin(2*pi*f_mod*(0:length(x)-1)/fs);

% 维纳滤波
w = wiener2(m, [3, 3]);
y = filter(w, 1, x);

% 解调信号
demod = y .* m;

% 播放解调后的语音信号
sound(demod,fs);

这段代码首先从文件中读取语音信号，然后生成一个调制信号。接着使用维纳滤波器将调制信号应用到语音信号上，得到调制后的信号。最后通过将调制信号与调制后的信号相乘来解调信号，并播放解调后的语音信号。

相关问题

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');