10.-stepper_motor.tar

Test limiar multipoint and compares with methods Sobel founded.

lineer programming with matlab lineer optmiziation problems

free matlab book tutorial

说明：  目标视频跟踪的基础，kcf的matlab版，可使用otb工具箱(The basis of target video tracking, the matlab version of KCF, can use OTB toolbox)

一本MATLAB在光学工程方面应用的好书(A MATLAB application in optical engineering books)

matlab小波包工具箱的使用来分析信号，实现了一维去噪声的功能，恢复出了原始信号(wavelet packet Matlab toolbox used to analyze signals and realized the noise to a peacekeeping function, restoration of the original signal out)

Simple phaser effet with all-pass filters

Dijkstra通用算法，最近一段时间一直在搞图论的相关算法，发现Dijkstra是一个很好的单元最短路径算法，此程序很短，非常适合学习(Generic Dijkstra algorithm, the most recent period has been engaged in graph theory algorithms, Dijkstra is a good unit the shortest path algorithm, this procedure is very short, very suitable for learning)

说明：  通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

说明：  用粒子群算法实现聚类，性能良好，可以很好借鉴。(The performance of clustering by particle swarm optimization is good, which can be used for reference.)