matlab

《雷达系统设计matlab仿真》书中的 matlab程序代码（1~3章） 【美】Bassem R.Mahafza 著 朱国富等译 电子工业出版社(" Matlab radar simulation system design," the book of matlab code (Chapter 1 ~ 3) London and New York Bassem R. Mahafza with Guofu, M. Electronic Industry Press)

基于GA和MP的音频信号稀疏分解,用matlab实现(GA and MP based on sparse decomposition of audio signals using matlab implementation)

克隆免疫算法，将记忆库种群采用克隆算法进行复制(Immune clone algorithm, using cloned populations of memory copy algorithm)

一阶动态电路通过MATLAB中GUI模块的编程实现，并绘制相应的曲线(First-order dynamic circuit module through GUI in MATLAB programming, and draw the corresponding curve)

此程序是计算电力系统潮流的通解，通过支路法不断更新参数(This procedure is the general solution of the power flow calculation, continuously updated through the branch method parameters)

BPSK 系统的卷积编码和viterbi译码过程(Convolutional coding for BPSK system and its viterbi decoding process)

压缩感知重构算法在“鬼”成像中的应用研究.pdf(Compressed sensing reconstruction algorithm in the "ghost" image of applied research. Pdf)

Matlab codes for Face and Eye detection.

Describe: You can simulate a simple process MSVM Face recognition in achieving the entry code on them

说明：  它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a &quot response&quot matrix, predictive capabilities.)