new2

information gain calculation in Matlab

Matlab下的SUSAN角点检测算法,数字图象处理(Matlab under SUSAN corner detection algorithm, digital image processing)

说明：  自编MATLAB程序，希望对大家有帮助，仅供大家参考，希望有用(Self-compiled MATLAB program, we want to help, only for your reference and hope be useful)

说明：  mp3read和mp3write是直接写在wavread更换和wavwrite访问MPEG音频MP3文件。其特点包括： -旨在重复wavread完整语法和wavwrite -还支持上的动态下采样和渠道mpg123的合并-文件优化的很长的MP3 -只需要解码的部分-使用popen函数进行编码，以避免大量临时文件（可用时-看到我popenw墨西哥） -试图消除写保护回路的时间序列文件/通过阅读“热身”样本-包括辅助二进制软件包在Linux，Windows，Mac的PPC的，苹果，英特尔，和Mac英特尔- 64位(These versions of mp3read and mp3write are direct drop-in replacements for wavread and wavwrite to access MPEG audio mp3 files. Features include: - aims to duplicate complete syntax of wavread and wavwrite - also supports on-the-fly downsampling and channel merging of mpg123 - optimized for very long mp3 files- only decodes the needed portion - uses popen for encoding to avoid a large temporary file (when available- see my popenw mex) - attempts to preserve time alignment of files through read/write loop by removing "warm up" samples - package includes helper binaries for Linux, Windows, Mac-PPC, Mac-Intel, and Mac-Intel-64bit )

利用2DPCA和2DLDA在ORL人脸数据库上做的人脸识别实验，注解详细，适合初学者使用，对理解PCA与LDA有很大的作用。(2DPCA and 2DLDA use in ORL face database for face recognition experiments do, comment in detail, suitable for beginners, on the understanding of PCA and LDA are very useful.)

一份学习模糊控制很好的资料，希望能够给大家提供帮助。(a good reference about fuzzy control,hope it can help somebody!)

普通PID控制及其扩展算法控制的MATALB仿真程序，内容包含面广．(ordinary PID control algorithm and its expansion of enriching control simulation program, which includes many sectors.)

说明：  The anisotropic diffusion filter is formulated as a process that enhances object boundaries by performing intra-region as opposed to inter-region smoothing

灰色ＰＩＤ控制matlab仿真程序：主要包括连续、离散系统(gray PID control Matlab simulation program : including continuous, discrete systems)

pso算法，此算法源程序采用MATLAB编写，可用于向量机优化(pso algorithm that uses source code written in MATLAB, can be optimized for vector machines)