mppt 智能算法

用于扑克的识别 主要原理是 先把左上角的截去一个角（涉及到智能判断切片大小） 之后通过区域查找和HSV模型 辨别出颜色 和找出相应的区域 然后利用编码形式 识别数字和花式(The main principle for the identification of poker is to first truncate the top left corner (relating to intelligence judgments slice size) after the HSV model through regional search and identify colors and find the appropriate form of identification coding region and then use digital and fancy)

IEEE802.16下SUI信道模型的matlab仿真(IEEE802.16 under the SUI channel model of matlab simulation)

AFD - Advanced Filter Design using MATLABMiroslav D. Lutovac, Dejan V. Tosicversion 1.00 released 15 October 1999This program is freeware.Unpack with path names, for exampleDOS: pkunzip -d afdunix: unzip -L afdAfter unpacking afd.zip, and run MATLAB,change directory to afdfrom the MATLAB command window.Execute demoafd to quickly scan the AFD operation.(AFD- Advanced Filter Design using MATLABMiroslav D. Lutovac, Dejan V. Tosicversion 1.00 released 15 October 1999This program is freeware.Unpack with path names, for exampleDOS: pkunzip-d afdunix: unzip-L afdAfter unpacking afd.zip, and run MATLAB,change directory to afdfrom the MATLAB command window.Execute demoafd to quickly scan the AFD operation.)

基于FDTD的含挡板的平行板MATLAB电磁仿真(Content-based FDTD parallel baffle plate electromagnetic simulation of MATLAB)

用于多径直扩信号的仿真程序，对于研究直扩信号的人很有帮助。(Simulation program for multi-straight SS signals for the DS signal is helpful.)

实现了PLSA的MTLAB算法，分门别类，较详细。(PLSA algorithm to achieve the MTLAB, categories, more detailed.)

：主要介绍m序列、Gold序列、Kasami序列和JPL序列的生成原理及其MATLAB的实现，并介绍如何用MATLAB中 Simullnk对其进行硬件仿真，给出了相应自相关和互相关结果。(: The main introduction m sequence, Gold sequences, Kasami sequences and sequences generated JPL principle and the realization of MATLAB, and introduce how to use MATLAB in their Simullnk hardware simulation, the corresponding auto-correlation and cross-correlation results.)

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with intermediate multirecombination (the (=I )-SA-ES) using isotropic mutations is investigated on the general elliptic objective function. An asymptotically exact quadratic progress rate formula is derived. This is used to model the dynamical ES system by a set of difference equations. The solutions of this system are used to analytically calculate the optimal learning parameter  . The theoretical results are compared and validated by comparison with real (=I )-SA-ES runs on typical elliptic test model cases. The theoretical results clearly indicate that using a model-independent learning parameter  leads to suboptimal performance of the (=I )-SA-ES on objective functions with changing local condition numbers as often encountered in practical problems with complex fitness landscapes.

converts a a number to fixed point qmn format using matlab

里面囊括了基于matlab滤波器设计的各种.m文件，是不可多得的详细内部资料。(Inside cover matlab filter design based on a variety of. M documents is rare detailed internal information.)