encryptionImage

对信道编码的模块测试和系统测试。包含内外编码、突发长度、AWGN信道、莱斯信道、瑞利信道、信道自环等。(The channel coding module testing and system testing. Includes internal and external coding, burst length, AWGN channel, Rice channel, Rayleigh channel, the channel from the ring.)

一个独立成分分析的测试文件，包含了几个声音文件，可以用来测试自己的盲信号分离算法。(An independent component analysis of the test file that contains a number of sound files that can be used to test their algorithm for blind signal separation.)

说明：  16PSK系统仿真，m文件程序分析了系统的误码率，作出了仿真误码率曲线，与理论误码率曲线进行比较感觉不错。(16PSK system simulation, m file program analysis of the BER, bit error rate curve to the simulation, and compare theoretical BER curves feel good.)

主要讲了一些matlab的一些实用方法和技巧，方便对matlab的入门学习及掌握(Mainly about some matlab some practical methods and techniques to facilitate the entry of matlab learn and master)

RUNDEMO Illustrates the use of BFILTER2 and CARTOON. This demo shows typical usage for the bilateral filter implemented by BFILTER2. The application of bilateral filtering to image abstraction is demonstrated by the CARTOON function. Douglas R. Lanman, Brown University, September 2006. dlanman@brown.edu, http://mesh.brown.edu/dlanman

cica is most usefule za shaa shaa algorithm. and it is hutsdag pizdanuud yum ahkak.

采用经典FFT算法对dqpsk信号进行频率估计，并在高斯信道下绘制估计结果图。(The classical FFT algorithm is used to estimate the frequency of DQPSK signal, and the estimation result graph is drawn in the Gaussian channel.)

说明：  遗传算法工具箱，很实用的！请大家下载。一定感到很好！！！！(GNU GENERAL PUBLIC LICENSE Version 2, June 1991 Copyright (C) 1989, 1991 Free Software Foundation, Inc. 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. )

Matlab信号处理详解,很不错的一本书，适合初学者学习。(Matlab Signal Processing Xiang Jie, very good book for beginners to learn.)

Solve the standard basis pursuit program using a primal-dual algorithm,The key code of GBP is provided by Justin Romberg Reference: E. Candes and J. Romberg, “l1-Magic: Recovery of Sparse Signals via Convex Programming,” 2005.