JSPGA

说明：  matlab源代码，是重要的地震勘探源代码，工具箱程序(matlab source code, it is important to seismic exploration source code, toolbox procedures)

同态滤波的实现代码，同态滤波的实现代码，同态滤波的实现代码(Homomorphic filtering implementation code, the implementation code homomorphic filtering, homomorphic filtering of the implementation code)

盲源信号分析kernel-ica,amari_distance,chol_gauss,contrast_emp_grad,contrast_ica,demo_dernel_ica(kica for kernel-ica,amari_distance,chol_gauss,contrast_emp_grad,contrast_ica,demo_dernel_ica)

自己编写的最近邻KNN算法，采用的距离是欧氏距离，附加了详细的中文注释，还有一个测试集和一个训练集( I have written KNN nearest neighbor algorithm, the distance is the Euclidean distance, additional detailed notes in Chinese, as well as a test set and a training set)

MATLAB函数的mie散射和吸收 MATLAB Functions for Mie Scattering and Absorption(MATLAB Functions for Mie Scattering and Absorption。A set of Mie functions has been developed in MATLAB to compute the four Mie coefficients an, bn, cn and dn, efficiencies of extinction, scattering, backscattering and absorption, the asymmetry parameter, and the two angular scattering functions S1 and S2.)

Matlab的运动目标分割 车辆检测 平均建模背景差分(Matlab moving object segmentation of vehicle detection modeling background difference on average)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

说明：  随机信号分析实验 （1）产生N（0,1）正态分布的随机过程； （2）产生正态分布随机过程外的任意一种随机过程； （3）对随机过程的性能进行评估，包括概率密度函数、分布函数、均值、方差和相关函数。((1) The stochastic process of generating N(0,1) normal distribution; (2) generating any random process outside the normal distribution random process; (3) evaluate the performance of random process, including probability density function, distribution function, mean value, variance and correlation function.)

MATLAB经典计算题求解源码MATLAB source code for solving the classical calculation problems(MATLAB problem solving classical calculation source MATLAB source code for solving the classical calculation problems)

最短路的matlab代码，很不错的。 (Matlab code of the most short-circuit)