MTBoost1

说明：  电力负荷的混沌预测方法 电力负荷的方法很多~~本文是基于混沌(Chaos power load forecasting method)

聚类分析 最短距离法编程实现 层次聚类法(Shortest distance clustering hierarchical clustering method programming)

数字滤波头文件，包含头文件中数字滤波个参数格式(Digital Filter header files)

Practical Matlab experiment for Series Resonamce

是关于HCM和FCM的图像分割效果比较的matlab源代码程序，有比较的结果。(It is about image segmentation comparison based on HCM and FCM, a matlab code. )

利用MATLAB7.0与VC6.0联合编程，通过com组件实现了二维曲线，非常好，保证没错误(VC6.0 joint programming with the use of MATLAB7.0 by com component implements two-dimensional curve, very good, to ensure no errors)

matlab 解决声波信号的时域及频域的处理(Matlab basic waveform of the sound processing, including time domain, frequency domain analysis ...........................)

说明：  energy management in smart grid

交织器的Matlab仿真，经过运行没有错误(Interleaver the Matlab simulation, after running no errors)

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)