P-L-C-4th.Edition

本程序可仿真IEEE802.16e LDPC编解码器，程序设计原理见本人如下专著。 [1] 肖扬著, Turbo与LDPC编解码及其应用,人民邮电出版社，2010. [2] 肖扬著, MIMO多天线无线通信系统，人民邮电出版社，2009。 本程序只用于科研，不得用于其它场合。(The program can simulate LDPC codec with IEEE 802.16e LDPC of the size 2256*4512, and 1/2 code rate. Copyright (C2010-2015) Yang XIAO, Beijing Jiaotong University, Nov.3, 2010, E-Mail: yxiao@bjtu.edu.cn. Current Version Published: 2010-11-3 In my following books, I derived the algorithm of constructing the parity check matrices of IEEE 802.16e LDPC. [1] Y. Xiao, Turbo and LDPC Codecs and their Applications, Press of Posts and Telecommunications, Beijing, 2010. [2] Yang Xiao, MIMO Multiple Antenna Wireless Communication Systems, Press of Posts and Telecommunications, Beijing, 2009. This program also provides the LDPC code with the size 4512*2256, and 1/2 code.)

This a code in matlab. Calculus the magic square of a size especific. This code is make with algoritms genetics.

可变形部件模型Deformable Part Models是目前最好的目标检测算法(Deformable component model Deformable Part Models is the best target detection algorithm)

FFT algortihhm , with fft filters and plots this can be used for processing purposes

This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.

EMD镜像延拓数据分解，金融数据平稳化过程，有效分解非平稳数据。(EMD decomposition mirror extension data, financial data smoothing process, effectively decompose non-stationary data.)

shunt active filter full circuit

特征空间方法是现代谱估计的重要方法之一。针对噪声中的复正弦信号的模型，通过特征矢量的方法进行信号空间的分解。通过将信号空间分解为谐波信号空间和噪声信号空间这两个相互正交的空间的方法进行谱估计。Pisarenko,Music,ESPRIT算法都是这一类方法的重要算法。我们通过对不同算法进行比较分析不同算法在各种状况下的表现性能。并针对ESPRIT算法的各种改性和提升进行对比和测试。(Feature space is one of the modern spectral estimation method. Complex sinusoidal signal for the noise model, by the method of the feature vector for the decomposition of the signal space. By decomposition of the signal space to the space harmonic signal and the noise signal space, the method of the two mutually orthogonal spatial spectrum estimation. Pisarenko, MUSIC, ESPRIT algorithm is an important algorithm of this type of method. Different algorithms, our comparative analysis of the performance of different algorithms performance under a variety of conditions. And for a variety of modification and upgrading of the ESPRIT algorithm to compare and test.)

随机过程中的possion算法在matlab中的实现例程(random process of possion algorithm in Matlab routines to the realization)

matlab 7.x从入门到精通，关于数值分析、图像处理等。(matlab 7.x From Novice to Professional, on the numerical analysis, image processing.)