matlab-for-the-young

说明：  这个是MATLAB实现Hough变换的程序。有基本的Hough变换的理解程序，也有使用Hough变换来检测信号的程序(This is the realization of Hough Transform MATLAB procedures. Hough transform a basic understanding of procedures, have also used the Hough transform to detect the signal process)

这个源代码是关于遗传优化算法的源代码，里面注释很清楚(This source code is on the genetic optimization algorithm source code, which is very clear comments)

Matlab 计算有限元的一些程序，期望对大家有些帮助！！！！(Matlab finite element calculation of some of the procedures, expectations of you some help! ! ! !)

< matlab教程7.1>>中所有matlab源程序()

用互相关函数求两周期性信号的时移，为下一步信号处理提供有力支持。(Use cross-correlation function to get shifting of two periodic signal. )

it is a radiation pattern of an antenna

Various species of birds have unique bird calls. These bird calls are distinct based on inflection, length, and context, meaning the same bird may have more than one call. A device that would analyze the signal and identify the bird based on the bird call could be of tremendous help to an ornithologist. This project proposed the development of this device using signal processing and embedded design.

资料中结合自身理解详细阐述了梅吉特译码的原理、梅吉特译码的电路以及matlab的仿真编码程序。(Information in detail with their own understanding of the principles of Meggitt decoding, Meggitt decoding circuitry and coding matlab simulation program.)

这个程序主要是应用在图论中来解决哈密顿回路问题 是比较常见的(This procedure is mainly used in graph theory to solve the Hamiltonian circuit problem is more common)

随着人类基因组计划的实施，通过基因组测序，蛋白质序列测定结构解析等实验，分子生物学家提供了大量的有关生物分子的原始数据，需要利用现代计算技术对这些原始数据进行收集、整理、管理以便于检索使用。而为了解释和理解这些数据，还需要对数据进行比对、分析，建立计算模型，进行仿真、预测与验证，因而出现生物信息学，它的出现，极大的促进了分子生物学的发展。(With the human genome project implementation, through genome sequencing, protein sequencing experiments such as structural analysis, molecular biologists to provide a large amount of biological molecules of the original data, the need to use modern technology to these raw data collection, collation and management in order to facilitate retrieval use. To explain and understand these data, and data need to be compared to analysis, model, simulation, prediction and validation, therefore, bioinformatics, and its emergence has greatly promoted the development of molecular biology.)