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This is a guide book how to code with python

SPARCO is an environment for testing and benchmarking algorithms for sparse reconstruction. It includes a collection of sparse reconstruction

计算区域中心及最大面积切割程序，matlab版(Calculation of regional centers and the largest area of cutting process, matlab version)

Participle Swarm optimization on matlab

在window环境下，在MATLAB平台中，读写SEGY地震数据(In the window environment, MATLAB platforms, seismic data read and write SEGY)

循环位移函数，离散傅里叶函数必备工具之一。(Cyclic displacement function, discrete Fourier one of the tools necessary functions.)

This program will solve salesman problem by hybrid genetic algorithm and pso

bpsk信号MATLAB实现，希望对大家有帮助(bpsk signal MATLAB to achieve, we want to help)

fit_ML_rayleigh - Maximum Likelihood fit of the rayleigh distribution of i.i.d. samples!. Given the samples of a rayleigh distribution, the PDF parameter is found fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s with parameter: s format: result = fit_ML_rayleigh( x,hAx ) input: x - vector, samples with rayleigh distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields s - fitted parameter CRB - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type- ML

Program of signal processing