DIPimage-2.5.1

three phase induction motor

说明：  bpp sk

介绍了SVM的基础知识，包括：SVM入门（一）SVM简介；SVM入门（二）线性分类器part1；SVM入门（三）线性分类器part2；SVM入门（四）线性分类器的求解—问题的描述part1；SVM入门（五）线性分类器的求解—问题的描述part2等。(Describes the basics of SVM, including: SVM Getting Started (1) SVM Introduction SVM Getting Started (2) linear classifier part1 SVM Getting Started (3) linear classifier part2 SVM entry (d) the solution of a linear classifier- description of the problem part1 SVM Getting Started (5) the solution of the linear classifier- description of the problem part2 and so on.)

对16阵源的回波信号进行数字波束合成，包括回波信号仿真、权值进行泰勒加窗、数字混频、波束合成处理的仿真(16 sensor array digital beam echo signal synthesis, including the echo signal simulation, the value of the Tai Lejia windows, digital mixing, beam forming processing simulation)

采用加权网络中节点强度和权重都是幂率分布的模型，可以广泛的应用于数据预测及数据分析,用MATLAB实现动态聚类或迭代自组织数据分析。( Using weighted model nodes in the network strength and weight are power law distribution, Can be widely used in data analysis and forecast data, Using MATLAB dynamic clustering or iterative self-organizing data analysis.)

说明：  场区由两个PEC板组成，它们在y和z维度上延伸到无穷大，彼此平行。PEC板之间的空间充满了空气.在问题空间的中心放了一个电流源。(The field area consists of two PEC plates, which extend to infinity in the y and z dimensions, parallel to each other. The space between the PEC boards is filled with air. A current source is placed in the center of the problem space.)

Waterfilling algorithm (from [Palomar and Fonollosa, Trans-SP2004]) to compute: pi = (mu*ai - bi)^+ sum(pi) = Pt By Daniel Perez Palomar (last revision: May 10, 2004).(Waterfilling algorithm (from [Palomar and Fonollosa, Trans-SP2004]) to compute: pi = (mu*ai- bi)^+ sum(pi) = Pt By Daniel Perez Palomar (last revision: May 10, 2004).)

模型是非机动模型的卡尔曼滤波的程序及其应用(Model of non-motorized model of Kalman filter process and its application)

calculating the square root of A by Newton method used to calculate the root of A by the method of Newton: usual and the modified method

pe to snr for equalize zfl and mmse for channel [1/√2 1/√2] with tap 5