1111RVM

数字水印是当下的研究重点之一，尤其是基于鲁棒性的数字水印算法，本算法就是matlab下的水印(Digital watermarking is the focus of current research, in particular, is based on the robustness of digital watermarking algorithm, the algorithm is watermark under matlab)

稀疏非负矩阵分解，稀疏非负矩阵分解（SNMF）在线形稀疏编码理论的基础上将大量数据分解成正稀疏分量的一种算法(SNMF，Sparse non-negative matrix factorization)

一种非线性代数方程组的迭代解法。最早用于解算电力系统潮流。这种方法具有程序编制简单、占用内存少的优点，但算法收敛性差，计算时间长。(In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is only guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite. It was only mentioned in a private letter Gauss to his student Gerling in 1823.[1] A publication was not delivered before 1874 by Seidel.)

语音、图像等相关处理，如加躁去噪，频谱、幅度图，二值灰度图等(Voice plus noise denoising, image plus noise denoising, and image reversal, two values ​ ​ of other treatment)

神经网络,数字识别,水印程序,matlab 里面有关于matlab数字识别的多份代码及资料， (Neural network, digital identification, watermark program, matlab inside matlab figures on the number of identification code and information)

一种利用小波包变换进行盲信号分离的程序。(Program for blind source separation using wavelet packet transform.)

指纹增强 matlab 稳定性 应用性(Applied to enhance the stability of the fingerprint matlab)

simulation for cost 207 simulation

数学规划基础课后作业，北京航空航天大学最优化，牛顿法，最速下降法，回溯线搜索(Mathematics programming foundation homework, Beihang University optimization, Newton method, steepest descent method, backtracking line search)

This is a simple program to calculate the output of artificial neural network (ANN) using microcontroller ATMega 32. Assume that the neural architecture is : 2 hidden layers with 4 and 2 neurons respectively and 1 layer output with 1 neuron.This program explains the step how to compute the ANN in off-line mode.Means the weights and biases are already exist (microcontroller is not doing the learning steps). These parameters are produced using MATLAB. Therefore, we have already made the appropriate architecture using MATLAB. The tansig function is use in both of hidden layer. Finally, the neural output will be displayed on LCD port C.