mmfilter

MATLAB program for distribution sys load flow

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

matlab code for video watermarking

Keogh的SAX聚集近似算法，首先采用PAA分段，然后正态化序列，在对应表上查询符号表示，这是一个很经典的时间序列表示方法(Keogh' s SAX gathered approximation algorithm, the first use PAA segment, then normal sequence, query on the corresponding symbol table indicates, this is a classic representation of the time series)

One of the most mean-based programs, suitable for beginners to learn

Extract Edge Features using these operators

These sources help to solve problems on numerical methods

演示如何在matlab中实现TCP/IP的功能，很详细。(demonstrate how to implement the tcp/ip stack.)

A method is presented for augmenting an extended Kalman filter with an adaptive element. The resulting estimator provides robustness to parameter uncertainty and unmodeled dynamics.(A method is presented for augmenting an ext Kalman ended with an adaptive filter element. T he resulting estimator provides robustness to parameter uncertainty and unmodeled dynamics .)

计算大型矩阵的MHSS迭代法Matlab程序，该程序包含几个部分。(MHSS iteration method)