RBF

File: multipath_sim.m Matlab Simulink IEEE 802.15.3a compliant channel model (File : multipath_sim.m Matlab Simulink IEEE 802.15. 3a compliant channel model)

The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. Here similar looking pixels are grouped together for efficiency of further processing. In segmentation a label is assigned to every pixel in an image such that pixels with same label share certain visual characteristics. There are many methods and algorithms to segment an image. Mean shift Algorithm is also an algorithm which can be used to segment a color image.

经典的最小互信息量ICA算法，Informax算法，值得下载(Minimum Mutual Information ICA algorithm, it is worth the download. .)

2兆瓦异步双馈风力发电系统的建模与仿真，包含个子模块。pitch信号自己添加。。(2 MW doubly fed induction wind power system modeling and simulation, including the sub-modules. pitch signal to add their own. .)

基于matlab的IIR滤波器设计源代码，仿真结果完全正确。(The IIR filter design based on matlab source code, the simulation results is correct.)

说明：  用Matlab编写的用Powell方法求函数极小点程序(Written with the Matlab function using Powell method for solving minimum point procedure)

matlab编写的用卡尔曼滤波实现目标跟踪(matlab prepared using Kalman filter tracking)

地球物理地震学——基于FK域的波场分离，也可应用于滤波(FK domain wave field separation, can also be applied to filter)

EM算法在神经网络中的应用，可以用来进行视频数据分类。(In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.)

说明：  利用prony算法提取信号的幅值、频率和衰减因子，删除了mathworks工具包中的bug(The Prony algorithm is used to extract the amplitude, frequency and attenuation factor of the signal, and the bugs in the MathWorks toolkit are deleted.)