matlab1

主要介绍了Alamouti空时算法，分别是分析在接收天线和发射天线不同的情况下信道衰落情况(Mainly introduces the Alamouti space-time algorithm,to analyze the channel fading in the case of the diffierent type of the receiving antenna and the transmitting antenna， respectively)

Kernel自适应滤波器算法是基于Kernels的在线自适应回归算法。非常适合非线性滤波，跟踪和回归。该工具箱包括算法，演示和性能比较工具(Kernel adaptive filtering algorithms are online and adaptive regression algorithms based on kernels. They are suitable for nonlinear filtering, prediction, tracking and nonlinear regression in general. This toolbox includes algorithms, demos, and tools to compare their performance.)

Grey Wolf Optimizer MATLAB code for doing optimize your project

使用gui编写的计算器功能，与windows上计算器类似(A calculator written in GUI)

4DPSK, 8DPSK在高斯信道下性能仿真. 解调方式不仅包括包括相干解调,还有个人编写的非相干解调,对于急需非相干解调的很有帮助(4DPSK, 8DPSK in Gaussian channel performance simulation. Demodulation not only include coherent demodulation, there are individuals prepared by non-coherent demodulation, the urgent need for non-coherent demodulation of the useful)

维纳滤波，有非常齐全的源代码、测试文件，针对不同的SNR均有比较，代码测试通过(Wiener filter ,including complete source file ,testing audio files,and comparing different SNRs.The project has passed through edition)

车道检测中弯道的检测，是用MATLAB写的，能较好的检测车道(Turn lane detection tests written using MATLAB)

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))

program matematika to count volume

matlab code for 4-ask modulation