Gauss.m

压缩感知文献及相应的程序(Compressed sensing literature and the corresponding program)

实现在任意格式的图片中隐藏信息 联合开发网 - pudn.com

BCH encoder/decoder using matlab function. It includes an error analyser and an error rate calulator.

用神经网络辅助联邦卡尔曼滤波器进行组合导航的MATLAB仿真。(MATLAB simulation of neural network assisted federal Kalman filter integrated navigation.)

该文档是一个比较简单的能够获得压缩感知稀疏解的matlab代码-OMP(正交匹配追踪)， 通过离散傅里叶变换将时域接收信号变换到频域上， 得到接收信号的频域稀疏表示，通过OMP算法，求出稀疏解， 并通过重构信号误差衡量该算法代码的精确度。(This document is a simple matlab code -OMP (Orthogonal Matching Pursuit algorithm) by which the sparse solution of compressed sensing can be obtained. Firstly, signals received are transformed from the time domain to the frequency domain by the discrete Fourier transform. Secondly, sparse solutions of received signals are obtained by OMP algorithm. Finally, reconstruction error depicts the accuracy of the algorithm.)

exercise matlab code to learn, simulink

Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the exhaustive function POLYFITN

Steganography text using an image

backpropagation algorithm

a document about Emgu CV learning. good luck