tsquare

MATLAB命令详解，一份很有用的使用手册，包含各种函数的解释！ (MATLAB command details, a very useful manual, including the interpretation of a variety of functions!)

单相并网逆变器仿真，实现了单相逆变器并网(Single-phase grid-connected inverter simulation，Achieve a single-phase inverter grid)

活动轮廓模型中的iac模型，集合侧地线和无边缘活动轮廓模型的一种。(Active contour model iac model, a collection of geodesics and the active contour model without edges a.)

异步电机的abo仿真程序，可以直接运行结果，不错的！(Induction motor simulation program of the abo can be run directly a result, good!)

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 )

QAM 16 Constellation, Gray Coding, Average energy, Symbol errors are done for reference and 19th constellation.

该函数为OMP算法的函数实现，可以直接来调用，其根据沙维老师的CS_OMP改编(This function is a function of OMP algorithm to achieve, you can call directly to their teacher s CS_OMP adapted according to Shawei)

Simulink realisation of simple RLS equalizer

用于大地电磁测量数据的计算，EH4采集的(it can compute the raw data gotton by EH4 in elctromagnetic survey)

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