WaterFilling_alg

通信系统中常用的脉冲编码调制PCM的matlab源代码(PCM)

Displacement recovery for MLS method and compute stress from "An Introduction to Meshfree Methods and Their Programming [G.R. Liu, Y.T. Gu] " the orginal code is in fortran but this code is in matlab

由matlab实现的HMM，两个文件可以相互参考(Implemented by the matlab HMM, the two files can refer to each other)

optical fiber encryption in drpe

卡尔曼滤波在目标跟踪中应用仿真研究。 子函数能完成对运动目标位置的卡尔曼滤波跟踪。 主函数针对一具体假设完成跟踪，并且完成蒙特卡罗仿真。 情景假定：有一两座标雷达对一平面上运动的目标进行观测，目标在 0-600秒沿x轴作恒速直线运动，运动速度为15米/秒，目标的起始点为(-10000米，2000米)。雷达扫描周期T=2秒，x和y独立地进行观测，观测噪声的标准差均为100米。(This program described the Kalman filter algorithm according to a given scenario, simulation achieved the target tracking observation data and Kalman filter results, and the experimental results is studied using the Monte Carlo simulation. )

说明：  现代通信系统 （基于matlab仿真版本） 书籍pdf 通信与信号处理专业首选教科书 (Modern communication systems (based on matlab simulation version) pdf books, professional choice for communications and signal processing textbooks)

一个广义预测控制GPC的例子，matlab源程序(Example of a generalized predictive control (GPC), matlab source)

GLCM_Features1 helps to calculate the features from the different GLCMs that are input to the function. The GLCMs are stored in a i x j x n matrix, where n is the number of GLCMs calculated usually due to the different orientation and displacements used in the algorithm. Usually the values i and j are equal to NumLevels parameter of the GLCM computing function graycomatrix(). Note that matlab quantization values belong to the set {1,..., NumLevels} and not from {0,...,(NumLevels-1)}

基于Matlab的车牌识别程序，是我自己做的，不是特别好，但基本框架已做好，还有word报告。(Matlab-based license plate recognition program, is my own, not particularly good, but the basic framework has been doing a good job, there is word report.)

模拟人的步行，是一个很好的模拟程序！！！( WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?)