Vehicle-Type-Recognition

Algorithm that find the peaks of a signal. You can choose the number of peaks you want to find and the valour of peak to begin to find.

how bit loading is done by the help of SNR

matlab的上课课件以及全部m文件，希望大家下载学习。(class courseware, and all the matlab m file, I hope you download the study.)

常用的matlab图形绘制例子，概括了绝大多数的图形绘制方式。(Commonly used in graphics rendering matlab example, summed up the overwhelming majority of the graphics rendering mode.)

mkL 多核学习，介绍的很详细，附有论文地址，包括所有相关的代码(mkL multicore study, described in great detail, with papers address, including all related code)

用matlab编写的小程序，高斯—赛德算法(gusaa-seid matlab)

Matlab 遗传算法工具箱的详细解释，电子书(Explain in detail the Matlab genetic algorithm toolbox)

在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采 用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地 刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得 到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对 目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。 关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)

Auto L5 Neumann Hoffman Doppler

l1_ls 是一个目前最好的求解稀疏矩阵方程解的算法之一，这是作者发布的最新 MATLAB 源代码。(l1_ls: A Matlab solver for l1-regularized least squares problems. BETA version, May 10 2008 COPYRIGHT (c) 2007 Kwangmoo Koh, Seung-Jean Kim and Stephen Boyd. Permission to use, copy, modify, and distribute this software for any purpose without fee is hereby granted, provided that this entire notice is included in all copies of any software which is or includes a copy or modification of this software and in all copies of the supporting documentation for such software. This software is being provided "as is", without any express or implied warranty. In particular, the authors do not make any representation or warranty of any kind concerning the merchantability of this software or its fitness for any particular purpose. )