test_radar2

自适应滤波算法，可用于语音降噪等前端处理(adaptive filtering algorithms can be used for voice, and other front-end noise)

- Platform : Alcatel Lucent OmniPCX Enterprise Alcatel Lucent OmniPCX Office - Interface : XMLPhone Web Service - Version : R5.1 - Revision : Edition 5.1.0 – August 2008 - Licenses : My Phone - Abstract : This guide addresses application developers who want to learn how to design an application which can control a phone set.

1. Consider the FIR system described by H(z) = 1/16(-1 + 9z--2 + 16z-3 + 9z--4 - z-6), and plot the pole-zero locations in the z-plane.(1. Consider the FIR system described by H(z) = 1/16(-1+ 9z--2+ 16z-3+ 9z--4- z-6), and plot the pole-zero locations in the z-plane.)

说明：  计算三者的幅频响,计算三者的相频响应,计算三者的冲激相应,并观察三者冲激响应的能量积累情况(Calculated frequency response of the three sites, calculate the three-phase frequency response, calculate the corresponding three of the impulse and the impulse response observed among the energy accumulation)

基于PCA和白化的数据预处理操作，PCA具有两个功能：维数约减和数据可视化；白化的目的是去掉数据之间的相关性。深度学习的一个主要工作就是数据的预处理(Based on PCA and data pre-whitening operation, PCA has two functions: dimensionality reduction and data visualization whitening purpose is to remove the correlation between the data. One of the main work is to study the depth of pre-processed data)

一本非常好的matlab编程练习题，很有针对性，层次分明，重点和难点突出，。具有很高的参考和学习价值.(It is a very useful book of matlab programming practice.The gradation is distinct, important and difficult points is outstanding.So it has high value of reference and study.)

一维声子晶体带隙程序,可以计算一维声子晶体垂直入射状态下的带隙结构(one-dimensional phononic crystal band gap)

最小噪声分离，能够实现高光谱遥感图像的MNF正逆变换，进行图像降维与重建(Minimum noise separation can realize the MNF positive and inverse transformation of hyperspectral remote sensing images, and reduce the image dimension and reconstruct the image)

利用GMM算法，来检测纹理的一个代码！非常有用.(using GMM to detection texture)

本程序重构各层低频和高频系数，画功率谱，横坐标为频率，纵坐标为功率，小波包分解最后一句是为显示小波包四层分解树结构(Reconstruction of the procedural layers of low and high frequency coefficients, draw power spectrum, the abscissa is the frequency, the vertical axis is power, wavelet packet decomposition is the last sentence of four to show the wavelet packet decomposition tree)