tongliangliuliangyouhua

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

MIMO信号检测中排序串行干扰消除算法（OSIC）三种排序性能比较，QAM16调制，未编码，AWGN信道(MIMO signal detection interference cancellation algorithm (OSIC) sort sort of three properties, QAM16 modulation, the uncoded AWGN channel)

jade algorithm for extration of features

地震信号处理当中应用小波去除面波干扰，小波变换后进行阈值处理，反变换之后得到面波压制后的地震信号(Surface wave seismic signals obtained after the seismic signal processing to suppress them after removing the surface wave interference wavelet, wavelet transform thresholding, anti transformed)

A Survey of Genetic Algorithms do autor M. Tomassini

说明：  进行fft变换，在matlab环境中，很精短，很好，不错(Fft to transform, in the matlab environment, a very fine short, good, good)

这部分包括KL变换、沃尔什-哈达玛变换、Hough变换等(This section includes the KL transform, Walsh- Hadamard transform, Hough transform, etc.)

说明：  MATLAB7辅助控制系统设计与仿真 第6章(MATLAB7 Auxiliary Control System Design and Simulation of Chapter 6)

“FingerPrint-Application.zip”。使用Matlab实现对指纹特征点的提取。该代码详细列出了提取的全过程，并配有图片显示。(this code using matlab to gain fingerprint features abstration. )

This code allows to calculate complex Zernike moments on a binary image and to reconstruct an image from its Zernike moments. The moments are calculated robustly which allows to use them even for the reconstruction with high order moments.