文件名称:signalprocessing
介绍说明－－下载内容均来自于网络，请自行研究使用
1、产生信号，两个实正弦信号的叠加，幅度分别为2、4、1、3；混入均值为0、方差为1的白噪声。采用自适应滤波器对其进行去噪。
2.产生信号，为两个实正弦信号的叠加，其幅度均为4，混入均值为0、方差为1的白噪声。采用有限脉冲响应法设计一个维纳滤波器估计信号 ，并求最小均方误差。
3.产生高斯分布的白噪声w(n)，自行给定一个5阶AR模型，让该白噪声通过这个AR模型，得到输出信号x(n），再估计x(n）的AR模型数，比较估计的结果和原来给定的AR模型的参数。-A signal to be generated, the superposition of two real sinusoidal signals, amplitude, respectively 2,4,1,3 mixed with mean 0 and variance 1 white noise. Noising using adaptive filter them. (2) generate signals as a superposition of two real sinusoidal signal whose amplitude was 4, mixed with mean 0 and variance 1 white noise. The finite impulse response method to design a Wiener filter estimate signal, and for the minimum mean square error. 3 Gaussian white noise generated w (n), given a five self-order AR model, so that the white noise through the AR model, get the output signal x (n), and then estimate x (n) the number of AR model, Compare the results and the original estimate given by the AR model parameters.
2.产生信号，为两个实正弦信号的叠加，其幅度均为4，混入均值为0、方差为1的白噪声。采用有限脉冲响应法设计一个维纳滤波器估计信号 ，并求最小均方误差。
3.产生高斯分布的白噪声w(n)，自行给定一个5阶AR模型，让该白噪声通过这个AR模型，得到输出信号x(n），再估计x(n）的AR模型数，比较估计的结果和原来给定的AR模型的参数。-A signal to be generated, the superposition of two real sinusoidal signals, amplitude, respectively 2,4,1,3 mixed with mean 0 and variance 1 white noise. Noising using adaptive filter them. (2) generate signals as a superposition of two real sinusoidal signal whose amplitude was 4, mixed with mean 0 and variance 1 white noise. The finite impulse response method to design a Wiener filter estimate signal, and for the minimum mean square error. 3 Gaussian white noise generated w (n), given a five self-order AR model, so that the white noise through the AR model, get the output signal x (n), and then estimate x (n) the number of AR model, Compare the results and the original estimate given by the AR model parameters.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
adaptivefilter.m
AR.m
wena.m