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实现对信号的连续、离散小波分解，程序简单易读(Achieve continuous signal, discrete wavelet decomposition, the program simply read)

MALTAB 관 련 문 서 -한 글 파 일 입 니 다 .(MALTAB 관 련 문 서-한 글 파 일 입 니 다 .)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace 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 u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

数模中采矿问题的matlab源码，希望有人能用！(few Die mining source of Matlab, hoping that someone can use!)

数控机床DDA法第一象限到第二象限的椭圆插补及图形用户界面，步长可变(CNC machine tools DDA Act ​ ​ the first quadrant to the second quadrant of the ellipse interpolation and graphical user interface, step variable)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

LMS算法，有关收敛性的问题。算法画出了LMS的学习曲线(LMS algorithm, the convergence problem. LMS algorithm to draw a learning curve)

用感知器实现或功能的M文件，MATLAB中运行正确，(ANN)

数学建模或者去解决实际问题的其他的用处的一些用matlab工具使用的经典的算法(Mathematical modeling to solve practical problems of other useful some of the classic algorithm using matlab tools)

泄漏电流的压缩，基于压缩传感理论和希尔伯特黄变换的改进(leakage compression based on CS and EMD)