a-function-of-S

一篇非常优秀的论文：合成孔径雷达成像matlab仿真，附PDF和源码。 (Synthetic Aperture Radar Imaging Simulated in MATLAB（PDF and Matlab code）)

ITD法模态识别，基于自由振动曲线进行的模态识别(modal analysis)

An introduction to MATLAB and comprehenv sive software system for mathematics and technical computing .It will be useful to both beginning and experienced users.

capacity of multi input multi output

在matlab上将图像从空间域变换到频率域，主要包括Radon变换和反变换、傅里叶变换和反变换、离散余弦变换和反变换等(In matlab image will be transformed the spatial domain to the frequency domain, including the Radon transform and inverse transform, Fourier transform and inverse transform, the discrete cosine transform and inverse transform)

批处理for语句从入门到精通，讲述批处理的for语句的机制，目录如下： 一 前言 二 for语句的基本用法 三 for /f 含变量延迟 四 for /r 五 for /d 六 for /l(Batch for statements entry to the master, tells the story of a batch of for statements mechanism, directories are as follows: one preface Two basic uses of the for statement Three for /f with variable delay Four for /r Five for /d Six for /l)

很好的MATLAB仿真可以包括通信所有方面所以可以看看(good matlab)

光纤布拉格光栅中，利用matlab编写介质分层模型，得到反射谱。(Fiber Bragg grating, using matlab preparation of medium layered model obtained reflection spectrum.)

排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。 遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。(Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem. Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co)

generating C/A code of GPS