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自适应滤波lms算法，采用ask调制，三条多经信道，信噪比可调。(LMS adaptive filtering algorithm, using ask modulation, by more than three channels, signal to noise ratio adjustable.)

matlab下偏最小二乘回归模型 交叉有效性验证，及奇异点发现 (matlab partial least-squares regression model of cross-validation, and the singular points found)

ABEL PLD编程笔记 ABEL PLD编程笔记 ABEL PLD编程笔记(ABEL PLD programming notes ABEL PLD programming notes ABEL PLD programming notes)

说明：  这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的可靠性。(This is a relatively complete simulation of OFDM communication system design, including coding, modulation, IFFT, and down conversion, Gaussian channel model, FFT, PAPR suppression, various synchronization, demodulation and decoding module, and system performance omnibus simulation of the system reliability.)

说明：  基于FCM的数据聚类分析及Matlab 实现 戈国华, 肖海波, 张敏 ( 江西理工大学信息工程学院江西赣州341000 ) 【摘要】: 聚类是数据挖掘中常用的数据分析技术。本文详细介绍了FCM聚类算法的理论和实现步骤。并用Matlab 演 示了FCM用于数据聚类。结果表明FCM算法是一种高效的数据聚类算法, 有很广泛的应用。(FCM clustering analysis based on the data and Matlab implementation Ge Guohua, Xiao Haibo, Zhang Min (Institute of Information Engineering, Jiangxi University of Ganzhou, Jiangxi 341000, China) Abstract: Clustering is commonly used in data mining, data analysis techniques. This paper describes the FCM clustering algorithm theory and implementation steps. And demonstrates the use of Matlab for data clustering FCM. The results show that the FCM algorithm is an efficient data clustering algorithm, a very wide range of applications.)

说明：  里面包含详细的CFAR公式推导及原理，里面的公式可以对照雷达信号处理基础一书中的第七章部分(It contains detailed derivation and principle of CFAR formula.)

对于线性代数等知识在matlab的编码。主要有讲解ppt和matlab代码。(For linear algebra knowledge encoded in the matlab. Mainly explain ppt and matlab code.)

典型混沌序列的生成，可以根据自己的参数修改，并进行相空间重构(A typical chaotic sequence is generated, you can modify according to their parameters, and phase space reconstruction)

智能天线matlab仿真源程序，用于算法的研究(smart antenna simulation)

用MATLAB编写的模式识别中的贝叶斯分类器(Prepared using MATLAB Pattern Recognition Bayesian Classifier)