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signalprocessing

于 2013-07-04 发布 文件大小:2KB
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  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.)

文件列表:

adaptivefilter.m,885,2013-07-04
AR.m,611,2013-07-04
wena.m,964,2013-07-04

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