4th-pro

说明：  典型相关分析的matlab程序，希望对各位有用(Canonical correlation analysis matlab program you want to be useful)

彩色电视机接收系统仿真，功能模块完整，适合初学者，建议参考(Color TV receiver system simulation, complete modules, suitable for beginners, it is suggested)

基于matlab的锁相环的仿真，注释详尽(Phase-locked loop based on matlab simulation, comments in detail)

mos mtlab file by hhh

Entropy R.Data This is an implementation of Entropy in R.

ACS蚁群算法的一种简单方案程序，比较宜懂(ACS Ant Algorithm A simple procedures of the program, compared to understand)

说明：  多载荷多工况的结构拓扑优化代码，matlab实现(Structural Topology Optimization Code for Multi-load and Multi-working Conditions)

good examples of kalman filters for the learners(good examples of kalman filters for the learners......)

本程序是用来解决0-1规划问题的，匈牙利算法的MATLAB程序（用以解决分配（指派）问题） 本程序的用法是：输入效率矩阵 marix 为方阵，调用自编指令[z,ans]=fenpei(marix) 输出z为最优解，ans为最优分配矩阵。(This procedure usage is: input efficiency marix phalanx, calls for matrix maozhi instructions, [z] = fenpei (ans marix) output z for optimal solution, ans for optimal distribution matrix.)

　传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提取信息，通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析（Multiscale Analysis），解决了Fourier变换不能解决的许多困难问题。(The traditional signal theory, is based on Fourier analysis based on Fourier transform, and as a kind of global change, it has some limitations. In the actual application of Fourier transform people began to various improved, wavelet analysis produced. Wavelet analysis is a new branch of mathematics, it is functional, Fourier analysis, harmonic analysis, numerical analysis of the crystallization of the most perfect In the fields of application, especially in signal processing, image processing, audio processing as well as many nonlinear scientific fields, it is considered to be the Fourier analysis after another effective time-frequency analysis method. Wavelet transformation and Fourier transform, compared is a time and frequency domain and the local transform can effectively extract information from signal, through the telescopic peace shift etc operation function of the function ? )