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It is Radar System design and signal prcessing code based on standard algorithm .this is vey important for biggener those who are working on Radar signal processing area.This code contain various chapter. this is basically chapter No3

模式识别作业三，对属性的优先选择和数据分类。(Pattern recognition job priority attribute selection and data classification.)

线性矩阵不等式（LMI）的求解例子,最优保成本状态反馈控制、无记忆状态反馈鲁棒H_inf控制器(An example for LMI)

这是由罗华飞编著的MATLAB GUI设计学习手记第二版的电子书籍(This is LuoHuaFei compiled by MATLAB GUI design study the second edition of the journal of electronic books )

simulation of satcom (matlab6)

　　　综合运用数字信号处理的理论知识进行生物医学信号分析与处理，实现ECG信号的频谱分析，基线漂移检测等，设计滤波器实现心电信号的滤波，滤去高频和低频干扰，加深理解信号预处理的原理、方法和步骤。本设计的主要内容是设计一个ECG信号频谱分析与处理系统，实现ECG信号的增强，得到相对纯净的ECG信号。(Integrated use of theoretical knowledge of digital signal processing in biomedical signal analysis and processing, implementation of ECG signal spectrum analysis, the baseline drift detection, design of filter realizes the ECG signal filtering, filter the high frequency and low frequency interference, deepen understanding, the principle of the signal preprocessing methods and steps. The main content of this design is to design a ECG signal spectrum analysis and processing system, realizes the ECG signal enhancement, get relatively pure ECG signal. )

simulation and software radio for mobile communications 书中有详细的移动通信方面的matlab程序，对通信仿真有指导作用(simulation and software radio for mobile communications book detailed matlab mobile communications procedures, guidance on the role of communication simulation)

MatLab理想低通滤波及高通滤波实现高频增强(MatLab ideal low pass filter high-pass filter and realize high frequency increased )

There is a trend to develop blind or semi-blind source extraction algorithms based on second-order statistics, due to its low computation load and fast processing speed. An important and primary work is done by Barros and Cichocki, who propose an extraction algorithm based on a time delay. The algorithm is simple and fast, but its performance is not satisfying. The paper extends their work and proposes a robust algorithm based on eigenvalue decomposition of several delayed covariance matrices. It is faster and has better performance, which is conˉrmed by theoretical analysis and computer simulations.

using adaptive filter for denoising