cavity1D

汽车发动机电子节气门在线仿真程序，采用matlab、simulink进行编写(Engine electronic throttle-line simulation program, using matlab, simulink to write)

张正友平面相机标定法，使用MATLAB编写，程序全面(Zhang Zhengyou plane camera calibration method using MATLAB.)

this program is for binary shift keying.

《信号和系统分析及MATLAB实现》的配套程序，主要是介绍信号处理方面的内容。("Signals and Systems Analysis and MATLAB to achieve " the complete program, is to introduce the signal processing aspects. )

用矩量法（Richmond）分析半波振子天线电流分布，方向图(Analyse dipoleantenna with MOM(Richmond))

数字通信系统的基本调制方式的matlab仿真程序(Digital communication system of basic modulation of matlab simulation program)

本文件内容是蒙特卡罗算法，主要是对一些被积函数难的多重积分进行估计，文档除了程序以外，还有详细的讲解，便于理解。(Contents of this document are the Monte Carlo algorithm, mainly for some of the integrand is difficult to estimate the multiple integration, documentation, in addition to the program, there are detailed explanations, easy to understand.)

protocol implementation with different routing............................

bpsk modulation over awgn using viterbi decoder

迭代自适应Simpson，Lobatto积分 In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm. We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf. (Iterative Adaptive Simpson, Lobatto Points In almost every standard book on numerics quadrature algorithms like the adaptive Simpson or the adaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm.We present iterative adaptive quadrature algorithm (adaptiveSimpson and adaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (eg quad, quadv, and quadl) . Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of adaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.)