mimo-simulate-GUI

说明：  Maple使用教程：maple是解数学物理方程的软件类似于matlab，该教程让初学者轻松的学会用该软件求解复杂的数理方程(Maple tutorial)

LDPC Coding with PSK modulation in an AWGN channel Description LDPC Coding with PSK modulation in an AWGN channel Most of the functions are built in matlab functions found in the comm. toolbox. These can also be easily configurable in the code to meet your requirements. In the given code, set the SNR, codeRate, modulation order (psk) and Number of frames to be simulated. Please feel free to contact me and let me know your comments.

使用MATLAB来编写fft快速算法的具体实现方法的源码。(Use MATLAB to write fft Fast Algorithm for the concrete implementation method of the source code.)

信道估计很好的matlab代码，大家快来下载啊啊 啊 啊(Channel estimation good matlab code, everyone be quick to download )

基于matlab和LMS/NLMS/SMI方法的自适应均衡(Based on matlab and LMS/NLMS/SMI adaptive equalization method)

Zooming no.1 method based on gonzalez book.

最优状态估计，包括卡尔曼滤波、H_inf、UKF(optimal state estimation)

说明：  rs码生成程序。可选择码参数、本原多项式、误码率(RS code generator)

通过piv速度计算溃坝过程的溃口流量，并输出结果(Calculation of dam breach flow process through piv speed and output)

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 )