作业帮matlab加余弦噪声[x,fs,nbits]=wavread('chi1.wav');fs=16000;M =length (x) ; t=0:1/16000:(M-1)/16000;x1=x+cos(3*pi*t);sound(x1,fs)X=fft(x1,8192);N=8192;n=0:N-1;q=n*2*pi/N;figure(2)subplot(2,1,1);plot(x1);title('add noise 信号波形');subplot(2,1,
来源：学生作业帮助网 编辑：作业帮 时间：2024/11/27 21:43:27
![matlab加余弦噪声[x,fs,nbits]=wavread('chi1.wav');fs=16000;M =length (x) ; t=0:1/16000:(M-1)/16000;x1=x+cos(3*pi*t);sound(x1,fs)X=fft(x1,8192);N=8192;n=0:N-1;q=n*2*pi/N;figure(2)subplot(2,1,1);plot(x1);title('add noise 信号波形');subplot(2,1,](/uploads/image/z/8325291-3-1.jpg?t=matlab%E5%8A%A0%E4%BD%99%E5%BC%A6%E5%99%AA%E5%A3%B0%5Bx%2Cfs%2Cnbits%5D%3Dwavread%28%27chi1.wav%27%29%3Bfs%3D16000%3BM+%3Dlength+%28x%29+%3B+t%3D0%3A1%2F16000%3A%28M-1%29%2F16000%3Bx1%3Dx%2Bcos%283%2Api%2At%29%3Bsound%28x1%2Cfs%29X%3Dfft%28x1%2C8192%29%3BN%3D8192%3Bn%3D0%3AN-1%3Bq%3Dn%2A2%2Api%2FN%3Bfigure%282%29subplot%282%2C1%2C1%29%3Bplot%28x1%29%3Btitle%28%27add+noise+%E4%BF%A1%E5%8F%B7%E6%B3%A2%E5%BD%A2%27%29%3Bsubplot%282%2C1%2C)
matlab加余弦噪声[x,fs,nbits]=wavread('chi1.wav');fs=16000;M =length (x) ; t=0:1/16000:(M-1)/16000;x1=x+cos(3*pi*t);sound(x1,fs)X=fft(x1,8192);N=8192;n=0:N-1;q=n*2*pi/N;figure(2)subplot(2,1,1);plot(x1);title('add noise 信号波形');subplot(2,1,
matlab加余弦噪声
[x,fs,nbits]=wavread('chi1.wav');
fs=16000;
M =length (x) ;
t=0:1/16000:(M-1)/16000;
x1=x+cos(3*pi*t);
sound(x1,fs)
X=fft(x1,8192);
N=8192;n=0:N-1;
q=n*2*pi/N;
figure(2)
subplot(2,1,1);plot(x1);title('add noise 信号波形');
subplot(2,1,2);plot(abs(X)); title('add noise信号频谱');axis([0 9000 0 8])
到底哪错了,怎么改啊
matlab加余弦噪声[x,fs,nbits]=wavread('chi1.wav');fs=16000;M =length (x) ; t=0:1/16000:(M-1)/16000;x1=x+cos(3*pi*t);sound(x1,fs)X=fft(x1,8192);N=8192;n=0:N-1;q=n*2*pi/N;figure(2)subplot(2,1,1);plot(x1);title('add noise 信号波形');subplot(2,1,
(1)利用Matlab对MIT-BIH数据库提供的数字心电信号进行读取,并还原实际波形.
(2)对数字信号数据做一次线性插值,使其成为均匀数字信号,以便后面的信号分析.
(3)根据心电信号的频域特征（自己查阅相关资料）,设计相应的低通和高通滤波器.
(4)编程绘制实现信号处理前后的频谱,做频谱分析,得出相关结论.