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This is the previous year question paper of COMPILER subject of M.tech CSE

本书介绍了主成分分析法中重要概念，已经大量应用实例，特别适合学习模式识别的人。(This book describes the principal components analysis of important concepts, has a large number of examples, especially for people learning pattern recognition.)

GA for single machin problem

matlab环境下开放的心理声学模型，基于Matlab标准，包括FFT分析，掩蔽阈值分析等(psychoacoustic model open in the Matlab environment, Matlab-based standards, including FFT analysis, masking threshold analysis)

基于模拟电荷法求解导线周围空间的空间电场(Solving the electric field around the wire based on space charge simulation method)

It is a speckle noise filter using median-average-mean filter. it will remove the speckle noise from images this filter is based on a proposed technique in a paper

采用的是脉冲对消法，计算多重分形非趋势波动分析，利用matlab GUI实现的串口编程例子。( It uses a pulse of consumer law, Calculate the multifractal trend fluctuation analysis, Use serial programming examples matlab GUI implementation.)

介绍了作为开发软件的重要工具Visual Basic和MATLAB的发展情况,论述了利用Visual Basic 6.0中的ActiveX技术调用MATLAB的计算引擎,给出了Visual Basic和MATLAB联合开发的方法,使MATLAB 能在VB环境下运行,实现了VB的可视... (Introduced as an important tool for the development of software development in Visual Basic and MATLAB, discusses the use of Visual Basic 6.0 ActiveX technology to call MATLAB computational engine, Visual Basic and methods are given jointly developed MATLAB, MATLAB can make the environment in VB run to achieve a combination of VB and MATLAB visualization interface powerful numerical analysis capabilities, to play their respective advantages. text with a simple example illustrates the use of MATLAB software can enable the production of more sophisticated applications.)

移动通信中的MIMO信道模型，请大家一起多多交流(Mobile communication MIMO channel model, please more exchanges with U.S.)

说明：  《Fuzzy Relational Calculus Toolbox, Rel.1.01》The toolbox provides functions and original algorithms for solving direct and inverse problems. Author: Yordan Kyosev & Ketty Peeva("Fuzzy Relational Calculus Toolbox, Rel.1.01" The toolbox provides functions and original algorithms for solving direct and inverse problems. Author : Yordan Kyosev Ketty Peeva)