suijiguocheng

蚁群算法及应用，这本书不错，里面讲得也很详细(Ant colony algorithm and its application, this book is true, which also speaks in great detail)

有关有限脉冲响应滤波器的设计方法的介绍。(For finite impulse response filter design methods introduced.)

LZ compression LZ decompression

主成分分析的Matlab程序，包括完整的计算过程，相关参数计算及绘图(Principal component analysis)

小波变换应用MATLAB对于图像处理的压缩程序(Application of MATLAB Wavelet compression for image processing procedures)

Motion Detection Code in Matlab

说明：  采用MATLAB实现rs编码和卷积编码的功能，(Rs achieving the functions of coding and convolutional coding)

matlab模拟人走路，可拖动观察不同方位、不同步长等状态(matlab simulation of the human foot, drag observed in different directions, and long unsynchronized state)

M序列脉冲响应辨识，系统辨识，采用5级移位寄存器产生M序列作为输入信号，辨识该系统的脉冲响应(M-sequence impulse response identification, system identification, a 5-stage shift register generates M sequence as the input signal, identify the system impulse response)

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. )