Project

该代码为分布式MIMO天线选择的最优算法，递增算法，递减算法以及基于范数的算法。(The code for the Distributed MIMO antenna selection of the optimal algorithm, incremental algorithm, descending algorithm and norm-based algorithm.)

一个滤波的具体的应用，滤除乌拉组啦的噪声，相当有意思的(The application of a specific filter, filter out the noise Ulla Group Rights, quite interesting)

实现QAm和2psk调制 和解调 产生星座图。适合初学者学习参考用来进一步深化课本知识的理解(QAM mode and demode BPSK mode and demode)

人体脑信号波形检测与分析，包含自相关，功率谱分析的方法(human brain signal waveform detection and analysis, including autocorrelation, power spectrum analysis method)

关于光流法的运动图像目标检测 已调试成功(About optical flow moving image target detection has been successfully debug)

MATLAB_Demystified matlab揭秘(MATLAB_Demystified)

exercise1:为基于小波变化与局部能量的图像融合方法 exercise2:为基于自适应算法的图像融合算法 myfunction1~myfunction5:为性能指标评价函数(exercise1: To change and local energy based on wavelet image fusion method exercise2: adaptive algorithm based image fusion algorithm myfunction1 ~ myfunction5: performance indicators for the evaluation function)

一些简单最优化方法的matlab实现，及一些方法(Some simple optimization method matlab implementation)

This paper is concerned with the denition of t- norms on the algebra of truth values of type-2 fuzzy sets. Our proposed denition extends the denition of ordinary t-norms on the unit interval and extends our denition of t-norms on the algebra of truth values for interval-valued fuzzy sets.

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.