hidding_1bit

multiobjective optimization

对几个混合的常规信号进行傅里叶变换，并将其分离开。然后对几个信号进行时频分析，并求出参数估计的误差。(Conventional signals of several mixed Fourier transform, and separated them. And then the several signal time-frequency analysis, and the parameter estimation error.)

鲁棒性非常好的ICA算法程序，做独立成分分析时候效果好(robust-ICA)

基于圆阵和线阵的SIM算法和正交化算法。程序上的区别在于导向矢量的不同(Based on the circle array and linear array SIM algorithm and are orthogonal algorithm )

图像边缘检测，并有gui界面的设计 有matlab程序生成exe的部分内容(detection of the image edge and establish the gui)

The simulation based on the Matlab Simulink of the moden communication system.

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))

使用matlab 感知器工具箱函数newp编写单层感知器文件，模式识别作业(Use the matlab perception toolbox function newp the preparation of single-layer perceptron file, pattern recognition operations)

详尽的介绍了100个非常有实际意义的matlab程序，可以帮助初学matlab的人尽快的掌握一定的知识。(Detailed introduction to the 100 very meaningful matlab program that can help people as soon as possible matlab beginner to master certain knowledge.)

deduplication project