SS

说明：  能实现第四代移动通信系统中的关键技术MIMO-OFDM，是一个两发两收的MIMO系统(To achieve the fourth generation mobile communication system in key technology MIMO-OFDM, is a collection of two rounds of two MIMO systems)

说明：  matlab编写的leader_follower[数据挖掘]分类算法。(Matlab leader_follower prepared by the [data mining] classification algorithm.)

能够运用最小二乘发计算频谱，可以精确估算频谱(good way)

Transmission matrix code

三维FDTD程序，实现了葛德彪书中P132页的例子，提供了理论值与数值结果的比较。(Three-dimensional FDTD program, the the Ge Debiao P132 page book example provides a comparison of the theoretical and numerical results.)

该文件包含所有的测距定位算法，能够适用于无线传感器网络定位以及蜂窝网的终端定位。(This file contains all of the distance positioning algorithm, can be applied to wireless sensor network localization and cellular network terminal positioning.)

Spatial Channel model examples

利用K-L变换进行特征提取 通过类平均向量来实现类别投影 (By K-L transform feature extraction Through the kind of average vector to achieve category projection )

matlab三相不平衡系统潮流计算程序,三相不平衡系统，采用前推回代计算方法(matlab Unbalanced flow calculation program, three-phase unbalanced system, using forward and backward substitution calculation method)

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. )