Ex_mod

说明：  《MATLAB在数字信号处理中的应用》 介绍matlab6.1在数字信号处理领域的基本原理和应用(err)

人体三维运动特征提取和对其动作行为检索，有助于大家对其深刻的了解(The human body 3 d motion feature extraction and retrieval to its behavior Help you for its deep understanding)

一种新的图像细化算法，可以得到准确的细化边缘。(A new thinning algorithm, can be accurately refined edge.)

for using this code need to use signal toolbox and general toolbox in your matlab Using Haar transform to compress the image (showing remaining coefficen of Thresholded Image) and then using Inverse 2D Haar transform and finding the SNR to see how well decompression works

本程序设计的是咬尾编码的turbo码，用matlab编写。咬尾turbo码也即不需要拖尾比特，使得前后两个状态相同，译码采用修正的MAP译码算法。此文件为turbo码译码一般的MAP算法，程序中用作与咬尾turbo译码的对照(This program is designed to encode the turbo tail biting code, written with matlab. Tail biting turbo code that is not trailing bits to make the same before and after the two states, the MAP decoding using modified decoding algorithm. This document is a general MAP turbo decoding algorithm, and biting the end of the program for the control turbo decoding)

MATLAB执行ART2神经网络算法的执行程序和执行描述(MATLAB implementation of the implementation process and the implementation of ART2 neural network algorithm description)

This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform [12, 10] in two and three dimensions. The first digital transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is based on the wrapping of specially selected Fourier samples. The two implementations essentially differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both digitaltransformations return a table of digital curvelet coefficients indexed by a scale parameter, anorientation parameter, and a spatial location parameter. And both implementations are fast in the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are also invertible, with rapid inversion algorithms of about the same complexity.

该程序可以实现基于TOA估计的异步UWB定位。其中包括卡尔曼滤波、LSE估计、采用高斯函数作为冲激脉冲等(The program can achieve asynchronous UWB TOA estimation based positioning. Including Kalman filtering, LSE estimation using Gaussian function as impulse, etc.)

using L in profile storage. We may solve Ly  b accessing L by row and either LTx  y accesing LT by column or equivalently xTL  yT accessing L by row

MATLAB 实现的概率矩阵分解，可以用于社交网络推荐，将评分矩阵分解为两个低维的用户和商品特征矩阵。代码中需要在load位置添加自己试验所需的数据集。(MATLAB realization probability matrix decomposition can be used for social networking recommendation, the scoring matrix is ​ ​ decomposed into two low dimensional feature matrix of users and commodities. The code you need to add their own data sets required for the test load position.)