electromotor_servo_control

amplitude modulation system using simulink matlab

gilber strang files Computational Science and Engineering

It is book for communication engineering. It will help the students.

This program implements equation (2.26) using the waterfilling algorithm

The code enables the user to calculate the block truncation code of the given image. It is a lossy form of compression coding but excellent for beginners.

说明：  matlab 功能工具 matlab 功能工具(matlab functions matlab function tool tool)

MEDICAL CRBI for health

利用matlab simulink实现对WCDMA模型的仿真(Use matlab simulink simulation model to achieve the WCDMA)

侧边伸缩导航栏效果，精选ios编程学习源码，很好的参考资料。(The side effect of stretching the navigation bar, select learning IOS programming source code, a good reference.)

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.)