waveletEMD

DPSK modulation simulink block diagram

说明：  基于有限反馈的MIMO_空分复用预编码优化设计(MIMO_ based on limited feedback precoding spatial multiplexing Optimal Design)

这是一个很好的关于turbo乘积码的matlab代码(This is a very good turbo product codes on the Matlab code)

matlab programme to simulate beamforming in a communication system.

主要讲述了数码相机MIPI接口协议说明，工作模式及信号传输原理等(Camera Interface Overview)

压缩感知文章初学者看看是英文的讲了一些重构算法，挺好的比较有用ＯＭＰＢＰ等等( compressive sensing )

The images are organized into a tree with agglomerative clustering, using a measure of overlap as the distance. The reconstruction then follows this tree from the leaves to the root. As a result, the problems is broken into smaller instances, which are then separately solved and combined. Compared to the standard sequential approach, this pipeline boost computational efficiency by one order of magnitude, it is independent from the initial pair of views, and copes better with drift problems

本程序主要用于时间序列的去趋势算法，也就是常说的DFA。(here is a program to estimate the DFA of a time series)

simple electrical engineering programs for matlab

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.