matlabyingao

This m file performs the QPSK transmission and reception.

说明：  matlab 防真自适应滤波器（部分）考虑时变代价函数 (Matlab defense really adaptive filter (part) when considering variable cost function)

模拟退火算法的资料(simulated annealing algorithm information)

产生一个余弦波，为通信系统提供一个余弦载波(To generate a cosine wave, as a cosine-carrier communication system)

inverse depth calculation

matlab，二维声子晶体的z模式和xy模式的色散关系曲线的计算程序(The program of bandgap calculation of 2D phononic crystals by matlab)

MDPSAS工具箱是马里兰大学开发的，基于MATLAB的一套面向对象的模块化仿真工具箱。包含半导体生产过程中的许多对象，对于研究学习是很好的指导材料。(mdpsas is a MATLAB-based set of object-oriented modular simulation tools for solving lumped and spatially distributed models generated from chemical process design and simulation problems. The framework facilitates an evolutionary approach to simulator development, starting with a simple process description and building model complexity and testing modeling hypothesis in a step-by-step manner)

matlab开发环境，．编程实现二维DFT的变换，并与标准函数结果fft2进行比较，基本傅里叶、离散余弦变换，空域（完成两个程序） 增强噪声后再进行处理，利用标准函数，求图像阈值分割、边缘检测的基本使用（lena256.bmp，方法：graythresh、edge），求分水岭，利用标准函数dwt2、idwt2分解图像man_pic.jpg，基本 BP-BPbase1 (matlab development environment. Programming dimensional DFT transform, and with the standard functions compare results fft2 basic Fourier, discrete cosine transform, airspace (to complete the two programs) to enhance the noise and then processed using standard functions for image thresholding, edge Detection of basic use (lena256.bmp, method: graythresh, edge), seeking watershed, using a standard function dwt2, idwt2 decomposed image man_pic.jpg, basic BP-BPbase1)

本程序对天线中的一种重要类型： 半波、全波、三倍半波天线波瓣图 进行了仿真和三维成像。有助于对天线中波瓣图的理解。(This procedure of an important type of antenna: half wave, full-wave, three times the half-wave antenna lobe pattern simulation and three-dimensional imaging. Contribute to the understanding of the antenna lobe pattern wave.)

说明：  物元分析法由我国数学家蔡文在 20 世纪 80 年代提出． 应用物元法建立多指标评价模型，可以针对复杂问题建立形象化模型，定量化得出评价结果，从而较完整、准确地反映事物的综合水平。利用matlab编程，进行如下步骤计算：1、待判物元的确定；2、经典域、节域的确定；3、关联函数；4、综合关联度(Matter-element analysis method was put forward by Chinese mathematician Cai Wen in 1980's. Applying matter-element method to establish multi-index evaluation model can establish visualization model for complex problems and quantify the evaluation results, so as to reflect the comprehensive level of things more completely and accurately. Using MATLAB programming, the following steps are calculated: 1. determination of the subject element to be judged; 2. determination of classical domain and node domain; 3. correlation function; 4. comprehensive correlation degree)