HHTquintessence

it is good for start in speaker recognition.

描绘PSO算法并且获得动态图像动画 discribe a PSO and get an animation(discribe a PSO and get an animationdiscribe a PSO and get an animation)

“Applied Econometrics using MATLAB”配套的计量经济Matlab包(MATLAB code for: 1. least-squares, simultaneous systems (2SLS,3SLS, SUR) 2. limited dependent variable (logit, probit, tobit) and Bayesian variants 3. time-series (VAR, BVAR, ECM) estimation and accompanying forecasting functions 4. ridge, Theil-goldberger, switching regimes, robust regression 5. regression diagnostics, e.g. Belsley, Kuh Welsch, Cook-Weisberg 6. cointegration testing 7. statistical distributions (CDF, PDF and random deviate generation) 8. Bayesian Gibbs sampling estimation and MCMC convergence diagnostics 9. maximum likelihood and Bayesian spatial econometrics functions 10. lots of other stuff, over 350 functions)

对于线性代数等知识在matlab的编码。主要有讲解ppt和matlab代码。(For linear algebra knowledge encoded in the matlab. Mainly explain ppt and matlab code.)

商品期货价格统计套利matlab程序。工作中正在用的程序(Statistical arbitrage )

改进的人工势场算法。对比传统的算法，对目标不可达问题进行了改进。(Improved artificial potential field algorithm. Compared with the traditional algorithm, the problem of target inaccessibility is improved.)

利用arnold置换简单加密图片，并将其保存起来(Replacement using a simple encryption arnold pictures and save them)

一个关于背景扣除的COBRA的GUI程序(A GUI program on background subtraction of COBRA)

simulating of svc in malab for transient mode

Description We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of: - linear regression model - nonlinear regression model - fitting data in 3D space - identification of dynamical system This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file. Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny (Technical University of Kosice, Slovakia) Detailed description of the functions, examples and demos can be found at the link: Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170.