Gray-Level-slicing-without-background-SS

超宽带无线电基础那本书的源程序，对学习超宽带的朋友很有帮助(Ultra-wideband radio base of the source book, a friend of learning helps UWB)

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))

Evaluation of matlab expression in remote host PNET

MATLAB 实现turbo码 编解码功能，瑞利衰落信道下，高斯白噪声！(turbo encoder and decoder)

discrete sine or cosine transform using matlab

说明：  使用遗传算法解决车间调度问题，并给出甘特图(Use genetic algorithm to solve workshop scheduling problem and give Gantt chart)

这是基于MATLAB的调压调速模型，点击运行按钮可以进行仿真并可以观察仿真波形。(This is a MATLAB-based voltage control model, click the Run button to simulation and simulation waveform can be observed.)

source code for getting fuzzy membership function for face recognition

加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法(deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods)

1. 图像二值化 2. 边界跟踪，去除离散点 3. 边界提取 4. 删除短边 5. 区分河流与道路 先找到桥梁，利用桥梁上的种子点 对道路进行跟踪，从而提取整条主干道。 (1 image binarization 2boundary tracking, removal of discrete points 3 boundary extraction 4 Remove the short side 5 distinguish rivers and roads the curvature is too large) First find the bridge, the bridge on the use of seed points on the road to follow, thereby extracting the whole trunk.)