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hough变换，检测直线，有界面很好用的matlab源代码！可以自己加入需要的代码！(hough transform, linear detection, a good interface with the Matlab source code! Need to be their own code!)

MATLAB program for parallel port accessing with PC

matlab pst test system data in matlab

matlab两阶段单纯形法解线性规划问题的函数，有详细的注释和说明，还有一个word文档是用该程序解决实际问题的一个例子。(Matlab codes for simplex 2 phase algorithm, detailed comments and instructions, and a example using this code to solve a real problem.)

在加入高斯白噪声的情况下,假设信噪比为10dB，形成传统波束形成法、Bartlett波束形成法、Capon波束形成法的空间谱图(Prior to joining the case of white Gaussian noise, assuming the SNR is 10dB, the formation of conventional beamforming method, Bartlett beamforming method, Capon Beamforming spectrum of space law)

非线性分类器训练的快速算法设计,近邻法迭代法测试样本错误率(Fast non-linear classifier training algorithm, nearest neighbor algorithm iteration test sample error rate)

Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the adaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.

RAKE接收机的仿真代码，对研究接收机，信道均衡，预RAKE有帮助(RAKE receiver simulation code, the study of the receiver, channel equalization, pre-RAKE help)

Matlab source code related to basic image types. which is useful for the developers

首先从视频中提取100张图片，用其中五十张图片根据平均值法获得背景图片，然后做差，二值化，提取目标。(First, extracting 100 images from the video ,using fifty pictures to obtain the background image with the method of average. Then frame difference, binary, extracting the target. )