IAE

psotrain is a matlab file to use so as as to get a look on the PSO training

MALLAT塔式分解与重构算法，进行了四级(MALLAT decomposition and reconstruction)

matlab code for water fall cognitive radio

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].

MEXING WITH IFORT 11.0 IN 64 BIT MATLAB

it is a rough code..i just copied from somewhere. it is in matlab and doing some thing

设有一个随机信号 服从AR(4)过程，它是一宽带过程，参数如下： 我们通过观测方程 来测量该信号， 是方差为1的高斯白噪声，用LMS算法和RLS算法通过观测方程来估计原信号。并用Matlab对此问题进行仿真。 (There is a random signal obedience AR (4) process, which is a broadband process parameters are as follows: We are measured by observing the signal equation is a Gaussian white noise variance, with the LMS algorithm and RLS algorithm to estimate the observation equation the original signal. This issue with Matlab simulation.)

经济类的实用的时间序列分析软件包，已经是目前最好的版本了。USCD_GARCH，可以研究非平稳时间序列数据。(kind of practical time series analysis software package, is the best current version. USCD_GARCH can study non-stationary time series data.)

ARIAX matlab实现，对时间序列进行预测分析,模型的参数估计(ARIMA matlab realize, prediction of time series analysis)

说明：  风力发电模型中的双馈电机模块。该模型利用异步电机特性搭建出来，具有较好的精度(Wind power generation model of the doubly-fed motor module.The model utilizes asynchronous motor characteristics set out, has a good precision)