Soliton_In_PCF

说明：  MT filling technique for data re ordering technique

This paper presents a new and efficient approach for capacitor placement in radial distribution systems (RDS) that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors (LSF) are used to select the candidate locations for the capacitor placement and in part two a new algorithm that employs Dijkstra Algorithm (DA) is used to estimate the optimal size of capacitors at the optimal buses determined in part one. The main advantage of the proposed method is that it does not require any external control parameters. The other advantage is that it handles the objective function and the constraints separately. The proposed method is applied to 33 & 69 RDS. The solutions obtained by the proposed method are compared with other methods. The proposed method has outperformed the other methods in terms of the quality of solution. OPTIMAL C

具有分布荷载的超静定梁分析,这是一个非常典型的例子。(Analysis of statically indeterminate beam with distributed load。)

这是一个关于BP神经网络反演数据的一个实例。(an example of data retrieval using BP neural network.)

mm1排队模型的matlab源码，从c语言裸转过来的，主要解决排队论在matlab中的仿真问题(mm1 queue model matlab source code, from the c language naked in turn, mainly queuing theory to solve the simulation problem in matlab)

基于Matlab上，实现MFSK调制解调，Simulink文件。(Matlab-based, the realization of MFSK modem, Simulink files.)

工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。(Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster.)

FOUR MINUS ALTERNATIVE PIXELS IN AN IMAGE

simulator of alamouti code in lte system

说明：  广义S变换 作为小波变换和短时傅里叶变换的继承和发展， S 变换采用高斯窗函数且窗宽与频率的倒数成正比，免去了窗函数的选择和改善了窗宽固定的缺陷，并且时频表示中各频率分量的相位谱与原始信号保持直接的联系，使其在 PQD 分析中可以采用更多的特征量，同时， S 变换提取的特征量对噪声不敏感，因此，近年来众多学者纷纷采用 S 变换并结合其他分析工具应用于 PQD 的分析，产生了大量研究成果。(Generalized S-transform)