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数字图像处理--直方图均衡化--matlab程序(Digital image processing- Histogram equalization- matlab program)

matlab编写画数据的柱状图，比较分析时有用(Matlab data column, comparative analysis is useful when)

文件夹里是最速下降法和牛顿法，这两种方法在最优化中得到了广泛的应用，希望对学习最优化的同学有帮助。(Folder is the steepest descent method and Newton method, these two methods in the optimization has been widely used, I hope to learn to optimize students help.)

这是用matlab编写的分数阶系统仿真程序，希望对你有所帮助。(This using Matlab soft for the fractional system simulink and I hope to help you.)

主动时反通信结合复域方法的MATLAB仿真。(When combined with active anti-communication complex domain method MATLAB simulation.)

This program in Matlab code, plot the transfer function versus frequency for a seven layer filter by using the FDTD

％ Visualize the effects of MTF (modulation transfer function) ％ in film, lenses, scanners, and sharpening using simulation. Format:( Visualize the effects of MTF (modulation transfer function) in film, lenses, scanners, and sharpening using simulation. Format:)

Development ABC algorihm for energy. Solution in Matlab

This is the matlab simulation of three phase inverter harmonic reduction technique.

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)