下面的人是我的密码。我想消除噪音,从音频信号,我自己加起来,使用随机的function.The,下面的代码消除了一些噪音,但它仍然太吵,我无法听到声音。我还想为这段代码添加音频文件,但我在发布问题时没有找到任何选项,所以您可以添加任何两个频道的.wav声音文件。任何评论或暗示都会有帮助,谢谢。
close all
clear
clc
[x,fs] = audioread('cello.wav');
whos x;
pOrig = audioplayer(x,fs); %Signal Play
pOrig.play;
N = size(x,1);
figure;
subplot(2,1,1);
stem(1:N, x(:,1));
title('Left Channel of Origional signal');
subplot(2,1,2);
stem(1:N, x(:,2));
title('Right Channel of origional signal');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
df = fs/N;
w = (-(N/2):(N/2)-1)*df;
y1= fft(x(:,1),N)/N;
y2 = fftshift(y1);
figure;
plot(w,abs(y2));
title('Fast Fourier Transform of Origional Signal')
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
pause
y=x;
y = y + randn(size(y));
pOrig = audioplayer(y,fs);
pOrig.play;
figure;
subplot(2,1,1);
stem(1:N, y(:,1));
title('Left Channel with Noise');
subplot(2,1,2);
stem(1:N, y(:,2));
title('Right Channel with Noise');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
df = fs/N;
w = (-(N/2):(N/2)-1)*df;
y1= fft(y(:,1),N)/N;
y2 = fftshift(y1);
figure;
plot(w,abs(y2));
title('Fast Fourier Transform of Noisy Signal')
pause
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% filter design
n = 10;
beginFreq = 100 / (fs/2);
endFreq = 2000 / (fs/2);
%[b,a] = butter(n, endFreq, 'low');
%fout = filter(b,a,y); % input y(noisy signal)
[b,a] = butter(n, endFreq, 'low');
fout = filter(b,a,y); % input y(noisy signal)
figure;
subplot(2,1,1);
stem(1:N, fout(:,1));
title('Left channel after filtering');
subplot(2,1,2);
stem(1:N, fout(:,2));
title(' Right channel after filtering');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%plot(fout);
df = fs/N;
w = (-(N/2):(N/2)-1)*df;
y1= fft(fout(:,1),N)/N;
y2 = fftshift(y1);
figure;
plot(w,abs(y2));
title('Fast Fourier Transform after filtering');
pOrig = audioplayer(fout,fs);
pOrig.play;发布于 2018-02-09 14:07:31
你是用随机()函数来增加噪声,它产生高斯噪声,即白噪声。白噪声在频谱上有恒定的功率,这意味着你要增加从0到20 The的噪声(仅考虑音频频谱)。
你的滤波器是一个在0.1到2 kHz之间的带通滤波器,所以根据我上面指出的,在这些频带中仍然有噪声成分。理论上,它是不可能过滤所有的噪声成分,但你可能想要检查维纳滤波器,以获得更好的结果。实际上,如果你知道高斯噪声参数,它就是最优滤波器,在你的情况下,这只是噪声的方差。
如果你想看到一个消除所有噪音的例子,你可以把带外噪声加到你的原始信号上。通过rand()生成随机序列并使用过滤器使其带宽受限,这是可能的。例如,用3-10 the的带通滤波器过滤产生的噪声序列,然后添加到原始音频序列中。最后,在脚本中应用相同的黄油过滤器来查看所有的噪音都被消除了。
https://stackoverflow.com/questions/48673091
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