kekaoxing-pso

说明：  读取文本信息获得原始信息，在此基础上进行仿真，实现BA算法。(BA algorithm )

最经典的通信仿真教程：simulation of communication systems modeling methodology and techniques(Classic communication simulation tutorials: simulation of communication systems modeling methodology and techniques)

一个简单的wave文件水印程序，使用LSB嵌入。(A simple wave file watermark, the use of LSB embedding.)

实用matlab教程，包括simulink,图形处理，GUI，数值计算等的详细说明(Practical Matlab tutorials, including a detailed description of the simulink, graphics processing, the GUI, numerical calculation, etc.)

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].

Stability criteria Nyquist plot in Matlab.

说明：  采用隶属函数型神经网与模糊控制融合的解耦方法（DMFFCNN）方法实现解耦控制，有文字说明和源代码(Membership functions using neural networks and fuzzy control integration decoupling method (DMFFCNN) method of decoupling control, there are text and source code)

make parity check matlab

hidden markov chain model

VLSI based question set