lab2

Robust自动控制讲义，有练习和matlib的例题，自学Robust控制的好教材！(Robust Automatic Control notes, there are exercises and examples of matlib, Robust control of a good self-study materials!)

code for the protocol of stop and wait

viterbi译码，利用matlab进行的仿真平台搭建(viterbi decoding, the use of matlab simulation platform built for)

matlab 常用命令流，让您的开发变得更加轻松( matlab Commonly used command flow, let your development become more relaxed)

说明：  实现无功补偿选址，选址寻优ieee33节点(Reactive power compensation)

huffman coding of the bitstream

数字图像置乱技术及其Matlab实现 数字图像置乱技术及其Matlab实现(Digital image scrambling technology in digital image scrambling technology and its Matlab Matlab achieve)

标准粒子群算法PSO，matlab实现，处理彩图或灰度图(Standard particle swarm optimization PSO)

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. )

classification using MLP with GUi