xunhuanma-bch

The following files give basic informations regarding DCT,JPEG,VIDEO and temporal compression schemes

Feature Extraction from eeg

kvoting classifier useful in pattern recognition

灰色预测GM（1，1）模型的matlab源代码，包括预测模型的建立，以及模型的精度检验指标c,p的计算(Gray prediction GM (1,1) model matlab source code, including the prediction model, as well as indicators of model accuracy test c, p calculation)

This is a filter design document in digital and analog domain. There is matlab code

matlab 信号处理（清华大学出版社）一书第10章源代码(Matlab Signal Processing (Tsinghua University Press) Chapter 10 Source Code)

机器人避障,用于模拟机器人自主导航的避障碍的模拟(robot bizhang)

3GPP SCM信道模型，根据TS25.996编写(3GPP SCM channel model)

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. )

利用关联规则发对市场篮子的数据进行挖掘，对同一交易购买的物品的可能性进行了分析。(Association rules are a simple but very useful form of data mining that describe the probabilistic co-occurrence of certain events within a database. They were originally designed to analyse market-basket data, in which the likelihood of items being purchased together within the same transaction were analysed.)