三相异步电动机的机械特性 simulin仿真模型

Salam Des toolbox que j’ai les télécharger depuis qlq année titre se traitement de signal ou bient signal processing

说明：  利用matlab进行分支定界的算法(using Matlab for branch-and-bound algorithm)

Gradient information serves several purposes. It can relate the structure of objects in an image, identify features of interest for recognition/classification directly or provide the basis of further processing for various computer vision tasks. For example, "edges," noted by regions of high gradient magnitude, are central to the task of identifying defects in circuitry. A sample "edge-detected" image using the Image Processing Toolbox for MATLAB is shown where locations marked by white are those points that are indicative of high gradient magnitude, which can also be described as regions of high pixel contrast.

陷波滤波器（notch filter）算法说明和设计过程，并给出了MATLAB的实现。一个非常好的例程，经过了仔细测试！(Notch Filter (notch filter) algorithm description and design process, given the realization of MATLAB. A very good routines, after careful testing!)

恒虚警检查，根据虚警率确定门限值，进而确定检测概率(CFAR check, according to the false alarm rate to determine the threshold, and to determine the probability of detection)

可以进行曲线回归拟合算法的四参数算法,函数为 y (a-d) (1+(x c) b) +d ec50 m 为其主要函数(A four-parameter algorithm for curve regression fitting, whose function is y (a-d) (1 (x c) b) d ec50 m is its main function).)

新混合人口 basedalgorithm （PSOGSA） 是与组合中群优化 （PSO） 重力方法优于 (GSA) 提出的。主要思想是探究的将两个 algorithmsd deOao 强度与 GSA tosynthesize 能力集成能力开采中粒子群优化算法

matlab 基本知识，基本概念和语法规则，编程技巧。武汉大学教学用的课件(matlab basic knowledge, basic concepts and syntax rules, programming skills. Wuhan University teaching courseware)

信道编码，找码长，起始码，信号位，生成矩阵(Channel coding, looking for code length, start code, the signal bits to generate the matrix)

该文件包含了8psk调制信号的产生，以及经过多径瑞利信道后，前后对比的星座图，经过CMA均衡算法后输出信号，能对均衡算法有更深的认识。(This file contains the generated 8psk modulation signal and multipath Rayleigh channel after, before and after the constellation, after CMA equalization algorithm output signal, capable of balancing algorithms have a better understanding.)