SVM

说明：  弦位法的计算程序，通过它可以近似在特定区间中的根(String with the calculating process can be approximated by its roots in a specific interval)

关于模式识别的几个matlab程序，包括fisher；parzen窗；感知函数等等。(Matlab on the number of pattern recognition procedures, including the fisher parzen window perceptual function and so on.)

The data files included are .MAT or *.dat (ASCII)files. The m-files and the data may be distributed, provided that the source is acknowledged in any publication and the data are not sold. Since this software is being distributed free of charge, the authors are not offering any technical support. Students who have any questions or difficulties using this software, or require the additional functions from the Signal Processing Toolbox should contact their professor. (The data files included are. MAT or*. dat (ASCII) files. The m-files and thedata may be distributed, provided that the source is acknowledged in anypublication and the data are not sold. Since this software is being distributedfree of charge, the authors are not offering any technical support. Students whohave any questions or difficulties using this software, or require theadditional functions from the Signal Processing Toolbox should contact theirprofessor.)

用MATLAB对微带贴片天线进行仿真，出来S曲线图(Using MATLAB simulation of microstrip patch antenna, out of S curve)

脉冲成形中的升余弦脉冲响应，具有零ISI胡脉冲波形。(The raised cosine pulse shaping impulse response, with zero ISI Hu pulse.)

说明：  matlab课程设计 任意信号卷积的运算,并且绘制图象.(matlab course design any signal convolution operation, and draw images.)

利用二元域的高斯消元法得到输入矩阵H对应的生成矩阵G，同时返回与G满足mod(G*P ,2)=0的矩阵P，其中P 表示P的转置 使用方法：[P，G]=Gaussian(H,x)，x=1 or 2,1表示G的左边为单位阵(binary domain PGE law input matrix corresponding to the formation of H matrix G, Meanwhile the return of mod meet with the G (G* P, 2) = 0 matrix P, which said P P switch home use : [P, G] = Gaussian (H, x), x = 1 or 2,1 G said the left side of the RUF unit)

将一个512×512的lena.bmp图像进行DCT变换，对得到的DCT系数按8×8块进行分层（分三层），重组填充得到新的系数矩阵，结果发现原图像的能量集中在了新图像的左上角低频部分。(The lena.bmp an image of 512 × 512 is subjected to DCT transform, the DCT coefficients obtained by layering 8 × 8 block (of three), to obtain a new recombinant filling coefficient matrix, the energy of the original image is found concentrated in upper left corner of the low-frequency part of the new image.)

Primal SVM code using the Lagrangian Theory

matlab中计算并且标出图片中的地平线(matlab to calculate and mark the picture horizon)