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说明：  SAR滤波MATLAB程序 从国外参考资料上下载的(SAR filtering MATLAB program downloaded from the Foreign References)

this code about fuzzy controller

该程序是IEEE118节点系统的节点导纳矩阵求取程序，输入相应的已知参数便可得到。(The program is a nodal admittance matrix IEEE118 bus system to strike the program, enter the corresponding known parameters can be obtained.)

mutual information 求时间延迟(mutual information tau)

说明：  基于matlab的分段卷积计算，循环卷积，线性关机(convolution firm一 rm1=ifft(conj(Xak1).*Xbk1) rm1=[rm1(N+2:2*N)rm1(1)

音效反馈梳装滤波器的matlab程序，可配合使用实现混响效果(comb filter for music effect )

说明：  Simulation of Alamouti’s Scheme over Rayleigh fading channel. Assume perfect channel state information at the receiver. Plot BER performance (use gray mapping) and compare it to MRC with 2RX antennas. Compare the performance with MRC.

matlab 交易技术指标源代码, 包含常用的各种指标RSI, MACD etc(matlab source code for trading technical indicators)

Small scale HPP optimization

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)