arnold

Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Paper investigates the performance of three automatic model selections based on Gaussian Mixture Model (GMM). These approaches are Bayesian information criterion (BIC), Bayesian Ying–Yang harmony empirical learning criterion (BYY-HEC) and Bayesian Ying–Yang harmony data smoothing learning criterion (BYY-HDS). Experimental evaluation of these methods is presented.

说明：  这是《MATLAB 7简明教程》一书配套的实例源码。("MATLAB 7 Concise Guide," a book supporting the example source code.)

it is a file to watermark the image file in matlab

Trajectory generation program using several methode of planification tapezoidel, bang -bang method

要求使用继电自整定方法对其实施自适应PID控制。 1、选择采样时间0.1s，把对象离散化。 2、加继电（开关）控制，测量对象的Tc,Kc。 3、利用ZIEGLER-NICHOLS 公式表，确定PID参数。 4、实现闭环控制。 5、根据调节效果，修正PID参数。 (Require the use of relay tuning methods for its implementation of the adaptive PID control. 1, select the sampling time 0.1s, the discrete objects. 2, plus relay (switch) control, measurement object Tc, Kc. 3, using ZIEGLER-NICHOLS formula table, determine the PID parameters. 4, closed loop. 5, according to moderating effect, the amendment PID parameters.)

matpower4.1相关文件，用于实现matpower仿真，4gs数据信息(matpower4.1 relevant documents, used to achieve matpower Simulation, 4gs data information)

小车位移的模拟仿真实验.其中pidoff.mdl 为无pid的时候小车的位移仿真曲线 pidon.mdl 为有pid的时候小车的位移仿真曲线(Trolley displacement simulation experiment)

定位指纹，室内，算法，欧式距离，最大后验概率，贝叶斯，加权贝叶斯，等(Location, fingerprint, interior, algorithm, Euclidean distance, maximum posterior probability, Bayes, weighted Bayes, etc.)

matlab的findpeaks的源码，绝对正确。用于峰值检测，很有用，调用很方便 (Matlab findpeaks the source code, absolutely correct. Used for peak detection, very useful, very convenient to call)

里面包含多种综合评价方法，如层次分析法、模糊综合评判、基于可拓学的综合评价方法、数据包络分析法、TOPSIS分析法、熵权法以及人工神经网络分析法(It contains many comprehensive evaluation methods, such as analytic hierarchy process, fuzzy comprehensive evaluation, extension-based comprehensive evaluation method, data envelopment analysis method, TOPSIS analysis method, entropy weight method and artificial neural network analysis method.)