ch6

this script used a new fast block matching algorithm with dynamic search patterns to obtain motion vectors for each blocks.

Image enhancement in spatial domain, the sources include histogram, laplacian, unsharp mask, and spatial filter

适合任何信号的模糊函数的画法。运行时要明白要要输入的那几个字母的实际含义。首先要将你的信号进行离散化，Signal elements（u_basic）就是你的信号矢量。Frequency coding in units of 1/tb你信号的采样频率，Over sampling ratio表示要满足采样定理（采样频率大于两边以上信号最高频率），其他的直接翻译过来就可以了 (Ambiguity function for any signal of painting. Run-time to understand that to enter a few letters to the actual meaning. First, you want to discrete signals, Signal elements (u_basic) is your signal vector. Frequency coding in units of 1/tb your signal sampling frequency, Over sampling ratio that should satisfy the sampling theorem (sampling frequency is greater than the highest frequency signal on both sides of the above), the other can be directly translated to the)

C_与MATLAB混合编程(英文版),讲解如何用C与MATLAB的混合编程运用。(C_ mixed with the MATLAB programming (English))

基于极限学习机的预测模型，数据为混沌数据(extreme learning machine)

an ACO-OFDM code with optimal receive algorithm

高志强老师在2003年发表的基于带宽参数的控制器参数整定方法，里面介绍的LADRC（线性自抗扰控制器）例子对应的matlab代码与原文章，方便读者阅读与验证，减轻读者编程负担。(Teacher Gao Zhiqiang, published in 2003 based on bandwidth parameter of the controller parameter tuning method, which describes the LADRC (linear auto disturbance rejection controller example corresponding matlab code and the original article, convenient readers reading and verification, reduce the burden of programming readers.)

说明：  求希尔伯特谱的程序，可以出图像，可以运行。(A program that can run Hilbert spectrum.)

此仿真程序是目前论坛里面最完整的仿真源码，并且经本人调试运行，完全没有错误，有很高的研究价值。为各位搞仿真和做OFDM系统相关论文的研究生，而没有全面仿真程序的人提供本程序。此程序包含52个仿真模块，可以仿真出52个仿真图。(This simulation program is the forum inside the most complete source of emulation and debugging, as I run, there is no error, has high research value. For you to do engage in OFDM system simulation and related post-graduate theses, and no comprehensive simulation program provide the program. This program contains 52 simulation module can be a simulation simulation Figure 52.)

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