Zbus-(1)

四相绝对相移键控的仿真和分析，四个图形合成，有意思(Four-phase phase-shift keying absolute simulation and analysis, four graphics synthesis, interesting)

a perimater time ca for quen bee problem

recurrent neural network

PNN神经网络聚类法的MATLAB的源代码，自己编写的，很实用，希望对大家有所帮助。(PNN neural network clustering method for MATLAB source code, I have written, very practical, we want to help.)

This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. (This is a JPEG encoding & decoding program of still image. It does not use level shifting. Discrete Cosine transform (DCT) is performed both by classical & Chen s Flowgraph methods. Predefined JPEG quantization array & zigzag order are used here. RUN - LEVEL coding is used instead of Huffman coding. Compression ratio is compared for each DCT method. Effect of coarse and fine quantization is also examined. The execution time of 2 DCT methods is also checked. In addition, most energatic DCT coefficients are also applied to examine the effect in MatLab 7.4.0 R2007a. Input is 9 gray scale pictures & output is 9*9=81 pictures to compare. Blocking effect is obvious. )

说明：  有色噪声干扰下多变量系统的辅助模型辨识方法(Colored Noise multivariable model identification method of the auxiliary system)

利用Matlab编程，从脉搏波频谱中获取与人体生理病理相应的信息特征，实现了参数提取的程序化，取代了人工读图的过程。(Matlab programming from the pulse wave spectrum to obtain the appropriate information and human physiological and pathological characteristics, parameter extraction procedures, replacing the manual digitizing process.)

this is speech recognition file

Observation Likelihood

说明：  免疫算法和遗传算法的结合，非常不错，希望对大家有用。(Immune algorithm and genetic algorithm combination, very good, and I hope useful.)