fangzhen_yangqiang

不需要用两个ask信号就可以产生fsk信号.可以设置频率和码元速率(to generte fsk)

以适合于matlab初学者的程序，简单易懂，鼓励更多地大侠共享更多地源程序(Suitable for beginners with matlab program, easy to understand and encourage more master sharing more ground source program)

describes the text to speech conversion using matlab

MIMO Processing for 4G and Beyond Fundamentals and Evolution 新出的的关于4G的书籍，学习必备。 (MIMO Processing for 4G and Beyond Fundamentals and Evolution welcome to download！)

一篇有关有限差分法在波场中的应用论文，看了对有限差分会有一定帮助。(a paper on finite difference which is used to the domain of elastic wave equation。)

文献1的仿真程序 solves the linear least squares problem with nonnegative variables = using the newton s algorithm in [1]. [1] Portugal, Judice and Vicente, A comparison of block pivoting and ％ interior point algorithms for linear least squares problems with ％ nonnegative variables, Mathematics of Computation, 63(1994), pp. = 625-643(literature of a simulation program solves the linear least squares p roblem with nonnegative variables using the n = ewton's algorithm in [1]. [1] Portugal. Judice and Vicente. A comparison of block pivoting and interior% po int algorithms for linear least squares proble ms% with nonnegative variables, Mathematics of Computation, 63 (1994), pp. = 625-643)

数字信号处理中的频谱泄露的程序，有助于帮助理解信号滤波处理的内涵。(Digital signal processing procedures spectral leakage, signal filtering helps to help understand the meaning.)

汽车牌照定位与字符识别 要定位汽车牌照并识别其中的字符，我们采用Matlab平台提供的一些图像处理函数,以傅立叶变换通过字符模板与待处理的图像匹配为核心思想。 (Vehicle license location to location and character recognition vehicle license and identify the characters, we use Matlab platform provides a number of image processing functions, Fourier transform through the characters in the template to be processed with the image matching as the core ideology.)

A Matlab implementation of the Jonker-Volgenant algorithm solving LAPs

这是第一版的AsymPDC工具包。用来处理PDC，gPDC和iPDC有关内容。运行环境为Matlab,并且要求至少Matlab中预装了3个工具箱：控制系统，信号处理和统计工具箱。(This is the first public release of AsympPDC package. It deals with the asymptotic statistics for PDC, gPDC and iPDC. AsympPDC runs under Matlab and is a practically self-contained except for requires routines from three Matlab toolboxes: Control System, Signal Processing, and Statistical. It is not extensively tested yet. It was partially tested under Windows, Macintosh and Linux environments with Matlab version 7.0 and higher. Please report any incompatibility to ksameshi[at]usp.br or baccala[at]lcs.poli.usp.br. Additionally for cosmetic purposes, the pdc_xplot routine uses several Matlab users contributed codes: subplot2.m (modified old version of supbplot to control spacing between subplots), shadedplot.m (developed by Dave Van Tol), suplabel.m (for label and title plotting in subplot figures, by Ben Barrowes), suptitle.m (contributed by Drea Thomas, for adding title above all subplots), and tilefigs.m (for tiling figures for simultaneous visualization, by Charles Plum))