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转弯运动模型，比较常见的几种目标转弯运动模型，用Matlab编的(Turning movement model, the more common goal of turning movement of several models, using Matlab series)

MATLAB实现卷积运算。信号的相关运算。信号的加噪声，去噪声。为一个M头文件。(MATLAB realization of convolution. Signal-related operations. The signal plus noise to noise. M for a header file.)

说明：  重力资料处理异常分离来分离区域异常和局部异常(Gravity anomaly separation of data processing to separate regional anomalies and local anomaly)

Write a MATLAB function lls_rd.m (rd stands for rank de… cient) to solve the LLS problem

64QAM基带系统接收机matlab代码：添加AWGN噪声，进行接收端匹配滤波器，8倍下采样，解调信号。(64QAM baseband system receiver matlab code: add AWGN noise, matched filter receiving end, eight times the down-sampling, the demodulated signal.)

一篇基于物理层MIMO OFDM 的研究论文，是大家入门的好东西(A MIMO OFDM based physical layer research papers, is a good thing we started)

Genetic Algorithm programing for matlab

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

matlab实用程序百例,这个主要是平时经常用到的一些程序!(matlab utility hundred cases, the principle is often used some of the programs in peacetime!)

用分布傅里叶计算硅波导中的非线性薛定谔方程，考虑硅波导中色散及非线性损耗(solution of NLSE(two pulses propagate in silicon waveguide) using split step fourier method)