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Simulation makes any system possible to study and experiment with the complex internal interactions of a given system, whether it be a firm, an industry, an economy or some subsystem of one of these. One of the most powerful techniques of simulation is a Monte-Carlo method. This report introduces the concept of Monte-Carlo method by defining the terms and describing a simple example (the determination or estimation of irregular area using a Monte-Carlo simulation).

double side band modulation code

说明：  高等土力学剑桥模型示例文件，土的本构模型(Cambridge model of advanced soil mechanics, constitutive model of soil)

应用背景MATLAB GUI教学视频0：GUI中的基本操作MATLAB GUI教学视频0：GUI中的基本操作MATLAB GUI教学视频0：GUI中的基本操作关键技术MATLAB-GUIGUI基本操作，视频讲解，方便初学者零基础学习！

具有服从瑞利分布杂波的雷达目标恒虚警处理(CFAR radar target simulation with a Rayleigh distribution of clutter)

基于混沌理论的一种安全压缩感知方案设计201312-1091(The Application of Compressed Sensing in Image Compression)

Performance analysis of BICM based cooperative network over AWGN channels.

OFDM中的关于交织器的个人设计的MATLAB的算法，比较经典的 ！(OFDM on the intertwined with the personal design of MATLAB algorithm, more classic!)

An all-optical regeneration scheme for DQPSK and QPSK signals using phase-sensitive amplifiers (PSAs) is studied and its effectiveness is investigated through numerical simulations. By leveraging the ability of PSAs to provide phase and amplitude regenerative amplification, we show significant simultaneous suppression of both phase and amplitude noises of (D)QPSK signals under optimized conditions. The reduction in the phase noise variance of a noise-corrupted DQPSK signal obtained by one such regenerative amplification can be as large as 5.5 folds, showing its good potential for distributed optical regeneration of (D)QPSK signals.  2008 Elsevier B.V. All rights reserved.

adaptive modulation and coding matlab code