Mat

说明：  MATLABcuda编程指南，很好用的，大家有兴趣的有看看。(MATLABcuda programming guide, useful, and we are interested in a look.)

matlab 调外部用dll，实现混合编程(matlab )

该matlab代码实现了“综合多分支分裂式层次化聚类” (Matlab implementation of Omnibus Multi-Branching Divisive Hierarchical Clustering (OMBDHC) “A competitive omnibus performance criterion for divisive multi-branching hierarchical clustering” by Soeria-Atmadja et al. (submitted). Note that OMB-DHC package is implemented in Matlab code and therefore demands the Matlab core program, as well as the Statistics toolbox of Matlab. Divisive hierarchical clustering (DHC) has emerged as a promising alternative for the identification of sub-structures in multivariate data. Of particular interest is multi-branching DHC, which allows flexible numbers of subclusters at each hierarchical level. One poorly explored issue in multi-branching DHC concerns the actual importance of the two performance criteria (and their associated algorithms) to automatically create clusters and select number of clusters, respectively. Another interesting but hitherto unexplored issue is the possibility to employ a single omnibus performance criterion that guide)

这是一个包含PCA降维的matlab程序加上用svm分类的一个程序。(This is a PCA dimensionality reduction plus matlab program contains a program with svm classification.)

基于卡尔曼滤波算法编写的跟踪问题的演示程序(Based on the Kalman filter algorithm to track the issue prepared demo program)

说明：  五种常用小波基含MATLAB实现，Matlab小波分析工具箱原理与应用(MatlabToolBox for wavelet analysis and five common wavelet bases realized by Matlab)

录制一段自己的语音信号，并对录制的信号进行采样；画出采样后语音信号的时域波形和频谱图；给定滤波器的性能指标，采用窗函数法和双线性变换设计滤波器，并画出滤波器的频率响应；然后用自己设计的滤波器对采集的信号进行滤波，画出滤波后信号的时域波形和频谱，并对滤波前后的信号进行对比，分析信号的变化；回放语音信号；最后，设计一个信号处理系统界面。(Section of their own voice recording signal, and recording the signal sampling draw sample after the speech signal time-domain waveform and frequency spectrum given filter performance indicators, using a window function method and bilinear transformation design of filters, and draw the frequency response filter then use the filter of their own design for the signal acquisition filtering, after filtering the signal to draw the time-domain waveform and spectrum, and filtering of signals before and after contrast, analysis of signal changes playback voice signal Finally, the design of a signal processing system interface.)

本程序重构各层低频和高频系数，画功率谱，横坐标为频率，纵坐标为功率，小波包分解最后一句是为显示小波包四层分解树结构(Reconstruction of the procedural layers of low and high frequency coefficients, draw power spectrum, the abscissa is the frequency, the vertical axis is power, wavelet packet decomposition is the last sentence of four to show the wavelet packet decomposition tree)

Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. It is as simple as Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms, and uses only common control parameters such as colony size and maximum cycle number. ABC as an optimization tool, provides a population-based search procedure in which individuals called foods positions are modified by the artificial bees with time and the bee’s aim is to discover the places of food sources with high nectar amount and finally the one with the highest nectar.

it is the matlab model for simulation of the 180 degree mode three phase VSI with full details of parametrs