nonlocalfilter

说明：  MATLAB的87个应用实例，对学习matlab有帮助！(MATLAB 87 application examples to learn MATLAB, help! )

GM(1,1) Predictor (Grey Model)

灰色预测，用于已知几年的数据对港口吞吐量的预测(Grey Prediction，Forecasts for port throughput)

这是基于MATLAB的回声状态网络，可用于趋势测量(This is based on MATLAB echo state network that can be used to measure trends)

论文仿真原型程序,仿真四种（ZF,ZF-SIC,MMSE,MMSE-SIC） Vblast接收的检测性能，绘制误比特率～信噪比曲线。 发端初始化=============================================================== 发射天线数tx,接收天线数rx,发射矩阵长度L(帧长) ( Paper prototype simulation procedures, simulation of four (ZF, ZF-SIC, MMSE, MMSE-SIC) Vblast detection receiver performance, bit error rate mapping ~ SNR curve. Initialize the originator ============================================= number of transmission antennas ================== tx, a number of receiving antennas rx, fired matrix length L (帧长))

这个程序可用来画R(D)函数，学习信息论的一般要做这个。(This procedure can be used to draw R (D) function, learning the general information theory to do this.)

digital signal processing ***use interpolation file along with fft.rar file

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

本程序主要用于时间序列的去趋势算法，也就是常说的DFA。(here is a program to estimate the DFA of a time series)

模式识别与智能计算matlab实现的源代码 主要有聚类分析 手写数字分类的实现(pattern Recognition And intelligence computing)