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matlab科学运算的教程,对于学习matlab的同学可以看一下(scientific computation matlab tutorials matlab for students learning to look at)

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Quantization error and distribution.

function [X, gamma_ind, gamma_est, count] = MFOCUSS(Phi, Y, lambda, varargin) MFOCUSS algorithm for the MMV model

3d model conversion using matlab

Matlab, Laser, Hermite polynomals, m-file

基于最小二乘支持向量机理论,结合某风电场实测风速数据,建立了最小二乘支持向量机风速预测模型。对该风电场的风速进行了提前1h的预测,其预测的平均绝对百分比误差仅为8.55 ,预测效果比较理想。同时将文中的风速预测模型与神经网络理论、支持向量机(support vector machine,SVM)理论建立的风速预测模型进行了比较。仿真结果表明,文中所提模型在预测精度和运算速度上皆优于其他模型。 (Based on least squares support vector machine theory, combined with a wind farm measured wind speed data, the establishment of a wind vector machine forecasting model of least squares support. The velocity of the wind farm were predicted in advance 1h, the mean absolute percentage error of only 8.55 of its forecast, forecast effect is ideal. While the text of the wind speed forecasting models and neural networks, support vector machines (support vector machine, SVM) wind speed prediction models were compared with established theories. Simulation results show that our proposed model on prediction accuracy and computing speed are superior to other models.)

说明：  清华大学出版社出版的科学与工程计算技术丛书/MATLAB GUI程序设计得课件以及源代码(Science and Engineering Computing Technology Series/MATLAB GUI Programming Courseware and Source Code Published by Tsinghua University Press)

face detection based SVM

说明：  多目标跟踪软件流程如下： 初始化函数 初始化轨迹对象 读取一帧数据 前景检测 根据位置进行卡尔曼预测 匈牙利匹配算法进行匹配 分配好的轨迹更新 未分配的轨迹更新 删除丢掉的轨迹 创建新轨迹 结果展示(The flow of multi-target tracking software is as follows: Initialization function Initialize track object Read a frame of data Foreground detection Kalman prediction based on location Hungarian matching algorithm for matching Assigned track update Unassigned track update Delete lost tracks Create a new track Result display)