viterbi-decoder-master

说明：  该code是黄金分割算法matlab程序,给定一个方程和变量取值范围,通过该code即可找到目标函数最小值,是优化分析过程中很好的一个基本算法.(this code is the golden-section algorithm. For a given range of design variables, the code can find the maximum of objective function. This code is a basic and useful algorithm in optimization method.)

smith圆图工具MATLAB版本,可以方便的进行阻抗匹配。(smith circle diagram tool MATLAB versions, you can easily carry the impedance matching.)

物理光学上的干涉实验，用matlab编程来实现，比较实用！(Intervention on physical optics experiments with matlab programming to achieve more practical!)

标准粒子群算法的实现思想基本按照粒子群算法(2) 标准的粒子群算法的讲述实现。主要分为3个函数。第一个函数为粒子群初始化函数 InitSwarm(SwarmSize......AdaptFunc)其主要作用是初始化粒子群的粒子，并设定粒子的速度、位置在一定的范围内。本函数所采用的数据结构如下所示： 表ParSwarm记录的是粒子的位置、速度与当前的适应度值，我们用W来表示位置，用V来代表速度，用F来代表当前的适应度值。在这里我们假设粒子个数为N，每个粒子的维数为D。(His thought of the implementation of the standard particle swarm algorithm according to the particle swarm algorithm (2)- the standard particle swarm algorithm about implementation. Mainly divided into three functions. The first function of particle swarm initialization function InitSwarm (SwarmSize... AdaptFunc), its main function is to initialize particle swarm particle, and set the particle s velocity, position in a certain range. The function of data structure is as follows: ParSwarm record table is the particle s position, speed and the current fitness value, we use W to represent the position, represented speed with a V, to represent the current fitness value with F. Here we assume that the number of particles N, each particle dimension for D.)

matlab 传统板的FEM程序静力分析、模态计算(Analysis, modal calculation program FEM of traditional static matlab plate)

A document detailing about the Image Enhancement process in MATLAB.

matlab图像处理实例详解chap8——图像变换技术(matlab image processing examples explain chap8- image conversion technology)

基于MMSE的自适应波束成形,本程序给出了基于MMSE算法的自适应波束成形(Based the MMSE adaptive beam forming, the program gives the MMSE algorithm-based adaptive beamforming)

16apsk信噪比与误码率曲线的仿真及星座图(16apsk signal to noise ratio and bit error rate curve simulation)

matlab实现了五类灰色关联度模型的计算,包含CV、CA、Single、当前、恒转弯速率、转弯模型，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度。( matlab implements five gray correlation degree computing model, It contains CV, CA, Single, current, constant turn rate, turning model, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation.)