Econommic-Dispatch-master

三相逆变电源的在Matlab中的仿真设计。(Three-phase inverter power supply design simulation in Matlab)

NOISE FILTER DEScrition

An calculator base on Matlab code

时间序列分析的工具箱,里面有html说明(time series analysis toolkit, which has html note)

used to calculate energy efficiency in wireless sensor nodes

仿真分析了MSK传输的数据，差分后的数据、加权前的I,Q路、加权后的I/Q路及MSK调制后的信号(Simulation analysis of the the MSK data transmission, differential data, weighted before I, Q Road, weighted I/Q Road and MSK modulation signal)

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.)

用matlab中的simulink搭建statcom模块，已经通过测试(use matlab to build the statcom model)

Tracking and Recognizing Rigid and Non-Rigid Facial Motions using Local Parametric Models of Image Motion

自适应滤波器，求解性能误差曲面和等值曲线，最陡下降法和LMS算法的比较，(Adaptive filter, the solution surface and contour error performance curve, the steepest descent method and the LMS algorithm,)