MVDR

QAM generator. This code generates M-ary QAM signals

notch filter的源程序代码(notch filter to the source code.)

关于快速傅里叶变换的贝叶斯计算在金融工程的期权定价中的应用(About the bayesian calculation of fast Fourier transform, the application of option pricing in financial engineering)

介绍了如何用Matlab模拟和仿真移动环境中的各种信道(Describes how to use MATLAB simulation and emulation mobile environment in a variety of channels)

matlab code for Speed Control of Brush-less DC motor

implementation of em algorithm

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))

This code deals with data at any z-level specified by zlevel1 and uses the output generated from make_zeta_u.c, make_zeta_v.c and make_zeta_T.c file i.e. it uses the files ufile??zlevel.dat, vfile??zlevel.dat and Tfile??zlevel.dat. The output includes qiver or velocity vector plots in that particular z-level. Dependencies include quivers.m file

用Matlab绘制心形图形的程序，图形很漂亮哦(Matlab draw heart-shaped graphics program, graphics is very beautiful, oh )

稀疏重构的理论基础和数值方法 （英文原版图书）(Theoretical Foundations and Numerical Methods for Sparse Recovery)