calculate-lyapunov

converting musical entrument sound to anyother

说明：  差分进化运算 matlab的源代码 操作简便，可以直接带入。(Differential evolution source computing)

一些有关ga的论文 都是精心收集的 包含多个方向(Some papers are concerned ga carefully collected)

application of the fuzzy logic controller to control the MPPT

用于计算设计矢量量化码书，采用Matlab进行编写，方便易懂(For computing vector quantization codebook design, using Matlab for writing, easy to understand)

《统计与自适应信号处理》是国外最新出版的一本统计信号处理教材。其主要特点是对统计与自适应信号处理的理论方法、实现及应用给出了较完整的论述和介绍。作者根据其多年的教学经验，并针对现代信号处理的理论及应用方面的重要性，选定谱估计、信号建模、自适应滤波与阵列信号处理等几个关键论题进行了详细的讨论。《统计与自适应信号处理》强调基本概念和理论方法，目的是为读者以后深入研究一些信号处理的新课题打下良好的基础。为了便于掌握，书中的数学描述和推导仅限于高年级本科生、研究生和工程技术人员能够理解的水平，因此《统计与自适应信号处理》具有较强的实用性。 《统计与自适应信号处理》适用于大学高年级本科生和研究生作为选修现代信号处理课程的教学参考书，也可作为工程技术人员自修现代信号处理理论及应用的参考书("Statistical and Adaptive Signal Processing" is the latest edition of a foreign statistical signal processing materials. Its main characteristic is the statistical theory and adaptive signal processing methods, and applications are given to achieve a more complete discussion and description. According to their years of teaching experience, and for modern signal processing theory and application of the importance of the selected spectral estimation, signal modeling, adaptive filtering and array signal processing, and several other key topics were discussed in detail. "Statistical and Adaptive Signal Processing," emphasizing basic concepts and theoretical methods, the reader is intended to signal processing after the in-depth study some new issues and lay a good foundation. In order to facilitate control, the mathematical description and derivation of the book is limited to advanced undergraduates, graduate students and engineers to understand the levels, "Statistical and Adaptive Signal)

BDFM model based on matlab simulink

基于matlab 的相机标定的几篇论文，标定是机器视觉测量的基础内容。(Camera calibration based on matlab a few paper, calibration is the basis of machine vision measurement.)

格式：[huffcodes，氢，領 ，电子] = huffmancoding（磷，氮） ％输入：p是每个字母符号的概率 （如：对= [0.3 0.2 0.2 0.2 .06 .04]） n是一个整数，决定在每个帧的符号数量 （默认：n = 1时） ％输出：huffcodes：huffmancodes 答：源熵 甲肝：平均熵编码 电子邮件：科丁效率(format : [huffcodes,H,Hav,e]=huffmancoding(p,n) inputs: p is the probability of each alphabet symbol ( eg:p=[.3 .2 .2 .2 .06 .04] ) n is an integer that determines number of symbols at each frame (default:n=1) outputs: huffcodes: huffmancodes H: source entropy Hav: average entropy for coding e: codding efficiency )

matlab code for psk mulation very usefull