FROG

omnet++ implementation of wsn.

单边带调制信号产生和解调的仿真，实现单边带调制解决调制中遇到的问题(Single sideband modulation signal generation and demodulation simulation, to achieve single sideband modulation problem encountered in the modulator)

matlab中S-function的应用及使用说明，可供编程时参考(Matlab S-function description and application, can be used as a reference when programming)

偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。(Partial least square method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the 3 kinds of analysis methods of the advantages of a body.)

利用matlab GUI实现的串口编程例子，本科毕设，包含收发两个客户端程序(Matlab GUI implemented using serial programming examples, undergraduate Bi-based, including sending and receiving two client programs)

matlab的两本些学习书籍，一本是和C混合变成，一本是图像处理(matlab learning of two more books, one is mixed into and C, an image processing)

基于matlab的三相短路仿真模型，很好的展现出三相短路下得各相波形变化。(Matlab-based simulation model of the three-phase short-circuit, the show was a three-phase short phase waveform changes.)

电力电子应用技术MATLAB仿真，供初学者学习初级仿真学习 (The application of power electronics technology, MATLAB simulation, for beginners to learn the primary simulation study)

MATLAB 读取 pscad 仿真数据 可识别逗号(Using Matlab to reading pscad data with find out ‘,’.)

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. )