shiliangkongzhifangzhen

Department of Electrical and Computer Engineering, American University of Beirut, Beirut 1107 2020, Lebanon Corresponding author: M. Baydoun (mhb13@aub.edu.lb)

The silde introduces about digital filter bank- an important concept in contemporary communication. Also, concept of L-band filters or Nyqist filter is introduced here.

正在从事科学计算的朋友学习fortran必备的书籍，除了书籍之外，还有原书的例程，好不容易在网上淘到的(Are engaged in scientific computing friends learning fortran necessary books, except books, there is the original book routine, hard-line to Amoy)

称它为“驱动程序超级宝典“一点也不过分，因为它是被译为中文的MSDN DDK文档。这个文档不是我翻译的，我只不过将它编辑了一下。翻译它的同志是个高手，非常专业，在此先谢谢他给我们作的工作。 ( Called it is "the driver super precious book" not excessively, because it is translated for Chinese MSDN the DDK documents. This documents are not I translate, I only have edited it. Translates it comrade is a master, extremely specialized, first thanks him in this the work which does to us. )

清华大学关于MapReduce的公开课的课件(courseware of MapReduce open class in Qsinghua University)

龙芯CPU+IP+资源简介，希望大家能够了解自己开发的芯片。(Godson CPU+ IP+ Resource profile, hope that we can understand their own chips.)

中文LATEX_安装与使用(优秀教程)，用于latex学习应用。(Chinese LATEX_ install and use (excellent tutorial) for latex-learning applications.)

AMTI和GMTI雷达的空时自适应处理 林肯实验室关于STAP的演讲ppt,关于机载空时自适应处理方面的珍贵资料(《Space-Time Adaptive Processing for AMTI and GMTI Radar》 by Lincoln Laboratory. It is valuable article for airborne radar in STAP)

本书详细介绍了合成孔径成像的基本原理，并且通过实际的代码进行仿真实现。(This book describes in detail the basic principles of synthetic aperture imaging, and through the actual code to achieve simulation.)

本书首先介绍了MATLAB 语言的程序设计的基本内容，在此基础上系统介绍了各个应用数 学领域的问题求解，如基于MATLAB 的微积分问题、线性代数问题的计算机求解、积分变换和复变函数问题、非线性方程与最优化问题、常微分方程与偏微分方程问题、数据插值与函数逼近问题、概率论与数理统计问题的解析解和数值解法等。还介绍了较新的非传统方法如模糊逻辑与模糊推理、神经网络、遗传算法、小波分析、粗糙集及分数阶微积分学等领域。(The book begins with the introduction of the MATLAB programming language, the basic content, on the basis of the system introduced in all areas of applied mathematics problem solving, such as MATLAB-based calculus problems, linear algebra to solve computer problems, integral transforms and complex variable function problems, nonlinear equations and optimization problems, ordinary differential equations and partial differential equation problems, data interpolation and function approximation problem, Probability Theory and Mathematical Statistics Analytical Solution and Numerical Solution of such. Also introduce a relatively new non-traditional methods such as fuzzy logic and fuzzy reasoning, neural networks, genetic algorithms, wavelet analysis, rough sets and fractional calculus and other fields.)