CLBP

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

内容为matlab插值和拟合算法和数据分析算法，数据分析为回归分析(Says matlab interpolation and fitting algorithm and data analysis algorithms, data analysis for the regression analysis)

MATLAB的工具箱...样条插值... (MATLAB_signal_TOOLBOX)

雷达系统分析与设计（matlab），非常清晰的pdf(Radar Systems Analysis and Design Using MatLab)

Electronically Scanned Arrays MATLAB Modeling and Simulation

结合PCA的尺度不变特征变换(SIFT)算法，双向PCS控制仿真，使用matlab实现智能预测控制算法。( Combined with PCA scale invariant feature transform (SIFT) algorithm, Two-way PCS control simulation, Use matlab intelligent predictive control algorithm.)

说明：  pmvf程序的完整版，鉴于论坛里面所有这个函数都没有完整版的，我究四处找资料补充发一个完整版的吧，里面有 test.m主程序来运行，其他是调用。 Fanger教授PMV－PPD指标计算程序. 欢迎大家互相分享(%PMVF Calculation of the Predicted Mean Vote (pmv) and the % Predicted Percentage of Dissatisfied (ppd) according % Fanger)

图像阈值分割程序，里面有好几个。运行ostu.m(Image threshold segmentation)

This code show and explain (in portuguese) a simple Block Code to BSC channel.

MATLAB 7.x系统建模与仿真代码，包括有： 1 第2~3.5~11章源代码 2 程序详细说明(MATLAB 7.x system modeling and simulation code, including: 1 2 ~ 3.5 ~ 11 Chapter 2 program source code details)