channel-estimation

this is a genetic algorithm source code

SVPWM MATLAB 仿真模型 频率10K 标准电压变化 功率变换(SVPWM MATLAB simulation model 10K standard voltage variation frequency power conversion)

南航张小飞教授LMS自适应波束形成MATLAB程序，原版书自带，绝对权威(Adaptive beamforming MATLAB program)

基于rosenstein法的混沌时间序列最大利亚普诺夫指数算法(Method based on chaotic time series rosenstein largest Liapunov exponent algorithm)

This program show the effect of Gaussian filter. The output are four subfigures shown in the same figure:

this paper helps to reduce speckle noise the ultrasound medical images.the accuracy of the image will be improved using different methods.

在MATLAB环境下实现了CDMA通信系统仿真，程序流程为：随机序列产生--WALSH码扩频--BPSK调制--加入（和不加入）高斯白噪声--BPSK解调--WALSH码解扩，对过程波形进行了存储，对加噪与不加噪情况下的解码结果进行了对比，并绘制出信噪比与误码率关系图。(In the MATLAB environment to achieve a CDMA communication system simulation, the program flow as follows: random sequence generated- WALSH yards Spread Spectrum- BPSK modulation- to join (and not to join) Gaussian white noise- BPSK demodulator- WALSH yards Solution expansion of the process of waveform storage, to add noise and without noise cases, the decoding results were compared, and draw out the signal to noise ratio and bit error rate diagram.)

基于window 环境下的电话本程序 (Window environment based on phone book program)

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.)

这是一本关于鲁棒自适应控制的专著，内容涵盖了当今鲁棒自适应控制的研究前沿。包括鲁棒最优控制，自适应控制，基于模型辨识的控制等多种控制方法，讲述非常详细，是一本难得的好书。(This is a robust adaptive control on the monograph, covering the current frontier of robust adaptive control. Including the robust optimal control, adaptive control, model-based recognition of control and other control methods, described in great detail, is a rare books.)