lda_test

很多MATLAB的文章里面的算法都是有的，可以借鉴，哈哈(LMS filter)

自适应信号处理方面的RLS自适应线性预测算法程序(Adaptive signal processing for adaptive linear prediction algorithm RLS procedure)

关于对pSOriasis的一般性的描述，虽然不是很全，但是还是十分的实用，对于初学者是很有帮助的 (About the general description of pSOriasis, though not very full, but still very useful for beginners is very helpful )

这是我自己搭建的射频中经常用到的T型滤波器，希望对大家有所帮助！(This is my own radio frequency often used to build a T-type filter, we want to help!)

很实用的一个OFDM仿真程序，OFDM采用BPSK、QPSK、16QAM、64QAM4种调制方式。按照星座图，将每个子信道上的数据，映射到星座图点的复数表示，转换为同相Ich和正交分量Qch。(A very practical OFDM simulation program, OFDM the BPSK, QPSK, 16 qam, 64 qam4 kind of modulation method. According to the constellation diagram, each will be the data on the channel, the plural of constellation is mapped to a point, said into in-phase Ich and quadrature Qch. )

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

说明：  自适应滤波器解决非平稳的过程，因为实际信号的统计特性可能是非平稳的或者是未知的。(Adaptive filter solves the non-stationary process, because the statistical characteristics of the actual signal may be non-stationary or unknown.)

雅克比迭代法 求Hilbert矩阵病态方程组(Iterative Method Jacobian matrix pathological Hilbert equations)

TDOAAOA定位的扩展卡尔曼滤波定位跟踪算法Matlab源码(TDOAAOA positioning location and tracking extended Kalman filter algorithm for Matlab source code)

back propagation with matlab