s10-(2)

1.matlab编程，实现函数的倒排序； 2.程序实现FFT,傅立叶逆变换； 3.一个图像处理程序，添加噪声，去噪。 (1.matlab programming, realize inverted sort function 2. Procedures realize FFT, inverse Fourier transform 3. An image processing program, add noise, de-noising.)

MatLab环境下编程实现简单交互式单纯形法进行寻优并显示寻优结果。(MatLab environment realize simple interactive programming simplex method for optimization and display the results of optimization.)

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This contains the dipole antenna from antenna theory

信号的短时傅立叶变换，paper2_2_1为主程序，仿真不同窗长下短时傅立叶变换的时频聚集度。stftxz为修正的短时傅立叶变换。(Short-time Fourier transform signals, paper2_2_1 main program, the simulation under different window length short time Fourier transform of the frequency of aggregation. stftxz to correct short-time Fourier transform.)

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相空间重构函数，可以直接用于时间序列重构，是混沌方法的基础( Function of the phase space reconstruction, which can be directly used for time series reconstruction, and it is the foundation of the chaos method)

冈萨雷斯的数字图像处理书中的所有源码，方便 大家，不用再去一个一个模仿写进Matlab(Digital Image Processing Gonzalez all the source books, convenience to us, do not go to a copy of a written Matlab)

稀疏表示经典著作 John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009的程序(# impFaceRecognition A Matlab implementation of Face Recognition using Sparse Representation the original paper: John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009. In our implementation, we propose a Multi-scale Sparse Representation to improve the performance compared to the original paper. If you use our code, please cite the paper: Multi-scale Sparse Representation for Robust Face Recognition )