genetic

几个BOC 信号的分析例程，全球卫星导航系统将普遍采用BOC调制信号作为扩频测距信号，qByWsxD信号自相关函数呈现多个相关峰(Several of the BOC Signals analysis routines, global navigation )

A program for comuting the reflectivity of DBR.in semiconductor lasers.

说明：  小生境遗传算法工具箱 很不容易才搜索到的 和大家分享啊 希望对大家有用哦(Niching genetic algorithm toolbox is not easy to search and hope to share useful ah oh)

计算流体力学 五阶WENO离散格式Matlab实例(求解波动方程等) 可直接运行(spatially 5th order weno scheme)

运用matlab这个软件运用递归方法运算出任意一个数的阶乘(The use of this software using a recursive method matlab computing factorial of a number of arbitrary)

《滑模变结构控制matlab仿真》第六章( synovial VSC matlab simulation Chapter 6)

说明：  台湾林教授支持向量机工具箱，支持，机器学习，人工神经网络，深度学习，分类(Support Vector Machine Toolbox, support MATLAB, machine learning, artificial neural network, deep learning, classification)

《数字信号处理——理论、算法与实现》胡广书 书配光盘程序 本光盘共包含三个子目录，分别是DSP_FORTRAN, DSP_C和DSP_MATLAB。DSP_FORTRAN和DSP_C各含有约40个信号处理的子程序，概括了书中所涉及到的绝大部分算法。程序分别由FORTRAN语言和C语言编写（MA模型、ARMA模型及最小方差谱估计三个算法只给出了用C语言编写的程序, 没有给出相应的FORTRAN子程序），并在PC机上调试通过。编译环境是FORTRAN77 V5. 10和TURBO C2. 0。DSP_MATLAB含有近100个用MATLAB编写的信号处理程序，它们是本书各个章节的大部分例题，使用的是MATLAB6.1。(" Digital Signal Processing- Theory, Algorithm and Implementation" Hu Guang book written with the CD-ROM CD-ROM program includes three subdirectories, namely DSP_FORTRAN, DSP_C and DSP_MATLAB. DSP_FORTRAN and DSP_C contains about 40 of the signal processing routine, the book summarizes most of the algorithms involved. Program language and C respectively written in FORTRAN (MA models, ARMA model and minimum variance spectrum estimation is given by the three algorithms only programs written in C language, did not give the corresponding FORTRAN subroutines), and in the PC, through debugging . Compilation environment is FORTRAN77 V5. 10 and TURBO C2. 0. DSP_MATLAB contains nearly 100 written using MATLAB signal processing procedures, which are most of the various chapters of the book examples, using MATLAB6.1.)

matlab非常好的学习课件，适合短时间自学的人使用。内容全面并且易懂。(The matlab great learning courseware, suitable for short-term self-use. Comprehensive and easy to understand.)

tutorial on fuzzy logic