hilbert1

CV1 - it is used for learnig work in matlab(CV1- it is used for learnig work in matlab)

shannon fano algorithma source matlab

经典的信道估计方法。比较详细，可以运行。主要是LS估计(Classic channel estimation method. In more detail, you can run. LS estimate)

algorithm implementation in matlab

In this programe a highly scattered enviroment is considered. The Capacity of a MIMO channel with nt transmit antenna and nr recieve antenna is analyzed. The power in parallel channel (after SVD decomposition) is distributed as water-filling algorithm

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

球形译码程序 从理论上比较详尽地仿真出了CLSD，每一步都有详尽的解释(Sphere decoding procedures detailed theory simulation CLSD every step detailed explanation)

cluster validity measure and its applicatio

单相全波整流模型,实现稳定的波形输出和优化的控制算法(Single phase full wave rectification model, achieving stable waveform output and optimal control algorithm )

Basicmusic 波束形成程序 能有效的仿真天线排列(Basicmusic beamforming coding. It can simulate the antena array effectly.)