Cameron_99MTT_folded_form

盲信号处理研究论文，这是第二部分，包括三、四、五章以及摘要和目录。(Blind signal processing research papers, this is the second part, including three, four, five chapters, as well as a summary and directories.)

混沌时间序列的预测matlab例程，自己编的，希望大家不要见笑(Chaotic time series prediction matlab routines, own, and hope that we will not stock)

1. 对给定语料估计其基音周期。 要求用MATLAB语言实现有关基音检测算法，并给出检测结果。2. 实验语料：aoYiSheng.raw 发音：“茅以升”；时长0.9s；采样率：8kHz；量化精度为16bits/sample；数据格式 LSB,MSB分析帧长:20ms(160样点)总帧数：45(1. Corpus right to set its estimated Pitch. Asked to use MATLAB the pitch detection algorithm, and gives results. 2. Experimental corpus : aoYiSheng.raw pronunciation : "Mao Yisheng"; Time-0.9s; Sampling rate : gunfire; 16bits/sample accuracy of quantification; LSB data format, MSB analysis frame size : 20ms (160 samples) total frame count : 45)

遗传算法优化神经网络程序[matlab]，十分有用(the generic algorithm of the network ,it is very helpful)

Mathematical analysis for engineering

this is a matlab function that can be given to the genetic algorithm tool box to chose the best 10 positions of 1 s beside the original 6 in the upper left corner 1 s in the dct quantization matrix

说明：  该程序包括了ofdm和qam两种调制的matlab仿真程序，并对两种调制方式进行了对比分析并仿真。(the program includes two QAM OFDM modulation and the Matlab simulation program, and two modulation methods for comparative analysis and simulation.)

z源逆变器的单相最大升压控制，可以更进一步的改善直流侧电压值，相对于简单升压控制可以减小直流电压的输入值。(Z source inverter single-phase biggest boost control, can further improve the dc side voltage value, compared with the simple boost control can reduce the input value of the dc voltage. )

MATLAB遗传算法工具箱及应用。本书系统介绍MATLAB遗传算法和直接搜索工具箱的功能特点、编程原理及使用方法。全书共分为9章。第一章至第四章介绍遗传算法的基础知识，包括遗传算法的基本原理，编码、选择、交叉、变异，适应度函数，控制参数选择，约束条件处理，模式定理，改进的遗传算法，早熟收敛问题及其防止等。(MATLAB genetic algorithm toolbox and its application. This book describes the features of MATLAB Genetic Algorithm and Direct Search Toolbox, programming principles and use. The book is divided into nine chapters. Chapter to Chapter IV describes the basics of the genetic algorithm, including the basic principles of genetic algorithm, encoding, selection, crossover and mutation, the fitness function, the control parameter selection and processing constraints, schema theorem, improved genetic algorithm, precocious convergence problem and its prevention.)

tool for measuring images