MusicSynthesis

正弦信号通过幅度调制（AM,DSB,SSB）所得到的时域波形及频域波形(AM,DSB,SSB waveforms in frequency- domain and Time domain)

说明：  mcmc的matlab实现，可用于参数估计(mcmc code by MATLAB,it can use to estimate the parameters)

该代码详细演示了EKF算法的各种优缺点及适用场合，和实用，很方便。(The code detailed presentation of the EKF algorithm and the application of the various advantages and disadvantages of occasions, and practical, very convenient.)

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. )

MATLAB智能算法30个案例分析第21章源代码(The MATLAB intelligent algorithm 30 case studies of Chapter 21 source code)

基于Simulink的多领域物理建模与仿真方法(Simulink-based multi-domain physical modeling and simulation methods)

读取硬盘SMART值,很详细的源代码。很有参考学习的价值(read hard smart value)

经典的Adaboost分类器训练过程详细的matlab代码解释，对做模式识别的人很有用(Classic Adaboost classifier training process explained in detail matlab code, to do pattern recognition is useful)

设计一个离散hopfield网络，实现联想记忆，以对模糊数字进行识别，判断。(design of a discrete hopfield network, associative memory, a pair of fuzzy figures for the recognition, judgment.)

Full wave inverter for power electronics applications as wind trtansformation