conv_fft

array processing code for communication engineering(array processing code for communication e ngineering)

SPRINGER PAPER FOR EMPIRICAL ODE DECOMPOSITION

利用差分方法求解带状线的特性阻抗等信息，适合初学者(The use of finite difference method for solving the characteristic impedance stripline information, suitable for beginners)

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

matlab编程的很好教程，的看看吧，很值得。(matlab )

A small Fourier transform tutorial

通过强大和安全的形象散列 非负矩阵因式分解，在信息取证与安全，376-390，2007年IEEE交易。NMF-NMF-SQ哈希( V. Monga, and M. K. Mihcak, Robust and secure image hashing via non-negative matrix factorizations, IEEE Transactions on Information Forensics and Security, 2(3), 376-390, 2007. NMF-NMF-SQ Hashing)

matlab功能入门，适合初学者在短时间对于matlab有简单的了解。(Matlab function introduction, suitable for beginners to matlab in a short time there are simple to understand. )

基于matlab的坐标变换程序，通过坐标的平移和旋转，实现坐标系中不同位置处物体三维坐标匹配。(Matlab-based coordinate transformation program, through coordinate translation and rotation, to achieve three-dimensional coordinates of the object at different positions to match the coordinate system.)

说明：  【 摘 要】 提出了一种基于负熵的快速不动点1 C A算法， 介绍了负熵的定义和如何将其用作代价函数度量混合信号的非 高斯性。 详细介绍了基于负熵的固定点准则以及简化算法。实验选取 3个非高斯向量作为信号源进行 Ma t l a b分离仿真， 结果显示 分离效果良好。 (Abstract Based on the rapid Negentropy 1 CA fixed point algorithm, introduced the definition of negentropy and how to measure its cost function for mixed-signal of the non-Gaussian. Described in detail based on the fixed-point Negentropy criteria and simplify the algorithm. Experiment to select three non-Gaussian vector as a signal source separation Ma tlab simulation results showed good separation efficiency.)