资源列表
Introduction-to-Random-Processes
- Steven Kay 关于随机过程的课件，该课件的参考用书Institute probability and random processes using matlab-Introduction of random process by Prof.Steven Kay.
matlab-handbook
- 本书对于MATLAB7给予实践性指导-Book to give practical guidance for MATLAB7
mrfdemo-1.8
- This the sample implementation of a Markov random field (MRF) based image segmentation algorithm-This is the sample implementation of a Markov random field (MRF) based image segmentation algorithm
FFT_demo
- 快速福利叶变换的例子，可正确运行。非常好的参考资料。-Rapid welfare Fourier Transform example, can be run correctly. Very good reference.
VBEMGMM
- 变分贝叶斯高斯过程混合模型源码，主要基于pattern recognition and machine learning 这本书。-22 Oct 2008 gmmVBEM.m is the main file for VBEM Main file needs MyEllipse.m for plotting Netlab gmmem for initialization Following example file illustrates the usa
MATLABToolboxforNeuralNetworkTheoryandApplications
- 面向MATLAB工具箱的神经网络理论与应用-MATLAB Toolbox for Neural Network Theory and Applications
DBN-ELM-master
- DBN-ELM应用于软测量，可以预测精度，并且可以和其它软测量模型进行对比。(Application of DBN-ELM in Soft Sensing,it can predict the accuracy and compare with other soft sensor models.)
The-path-selection
- 用easyX实现的路径选择问题，包含easyX库文件和源文件，供学习使用-Use the path selection problem easyX implementation, including easyX files and source files, for learning to use
FIR_dspbuilder
- 用dspbuilder实现32阶FIR滤波器-Achieved with a 32-order FIR filter dspbuilder
adaptiveBasis
- 贝叶斯参数学习电饭锅电饭锅的辅导费规范地方(Bayesian parameter learning)
A-Bayesian-Adaptive-Basis-Algorithm-for-Single-Pa
- Traditional single particle reconstruction methods use either the Fourier or the delta function basis to represent the particle density map. We propose a more flexible algorithm that adaptively chooses the basis based on the data. Because the basis a
zidian
- 字典算法，支持大量数据，非选择，冒泡排序-Dictionary algorithm, support large amounts of data, non-choice, bubble sort