L-M-neural-network

Matlab code to run "Robust subsapce segmentation by low-rank representation"

说明：  该文件包括几篇比较关于LDPC编码核心的基础读物，还有关于LDPC开发的MATLAB仿真库和运用该库所进行的一些仿真源码(The documents include a few more LDPC coding on the basis of the core reading, also on the development of the LDPC MATLAB simulation library and use the library for the simulation source code)

matlab session for 2014 class

说明：  %inverstable inverse_tb = gf(zeros(1, t+1), m); for i=1:t+1, inverse_tb(i) = alpha^(-i+1); end; %chien's search lambda_v = zero; accu_tb=gf(ones(1, t+1), m); for i=1:n, lambda_v=lambda*accu_tb'; accu_tb = accu_tb.*inverse_tb; if(lambda_v==zero) error(1,n-i+1)=1; else error(1,n-i+1)=0; end end found = find(error(1,:)~=0)

VC调用matlab工具箱函数进行图像处理编程(Visual C++ and matlab mixed programmimg )

说明：   在高阶谱分析工具箱是一个M文件集合实施了多种先进的信号处理算法的频谱估计，polyspectral估计，时频分布计算，并包含许多实际应用如时延估计，谐波恢复，参数估计的Volterra（非线性）模型，以及自适应线性预测。其他潜在的应用包括音响，生物医学，经济学，地震勘探，无损检测，海洋学，等离子体物理，雷达，声纳，语音等(The Higher-Order Spectral Analysis Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for spectral estimation, polyspectral estimation, and computation of time-frequency distributions, with applications such as time delay estimation, harmonic retrieval, parameter estimation of Volterra (nonlinear) models, and adaptive linear prediction. Other potential applications include acoustics, biomedicine, econometrics, exploration seismology, nondestructive testing, oceanography, plasma physics, radar, sonar, speech etc. )

说明：  M-file to calculate and plot the velocity and

说明：  matlab图像处理：color axis例程(matlab image processing: color axis routines)

QAM Modulation of a random sequence after passing a rayleigh channel.

说明：  一些数字信号处理的matlab函数实例，相信对大家会有点帮助(Some digital signal processing function of the matlab example, believe that you will help a bit)