外國人開發的電磁時域有限差分方法工具包 Electromagnetic Finite-Difference Time-Domain (EmFDTD) is a basic two-dimensional FDTD code developed at the School of Electrical Engineering, Sharif University of Technology. This code has been written based on the standard Yee s FDTD algorithm. Applications include propagation, scattering, and diffraction of electromagnetic waves in homogeneous and non-homogeneous isotropic media for in-plane propagating waves. Negative permittivites or permeabilities as well as dispersion is not included. Zero, Periodic, and Perfectly Matched Layer boundary conditions may be selectively applied to the solution domain. The program is best suited for study of propagation and diffraction of electromagnetic waves in Photonic Crystal structures. EmFDTD is written in MATLAB language and has been tested under MATLAB 5.0 and higher versions.
標簽： Finite-Difference Electromagnetic two-dimensio Time-Domain
上傳時間： 2014-11-24
上傳用戶：watch100
neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network Layers are easily defined. An entire multi-Layer network can be created in a few lines, and trained with two functions. Layers can be connected to one another easily and painlessly.
標簽： Programmer Networks entirely network
上傳時間： 2013-12-24
上傳用戶：liuchee
Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs and an initial network ％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the ％ network with backpropagation. ％ ％ The activation functions must be either linear or tanh. The network ％ architecture is defined by the matrix NetDef consisting of two ％ rows. The first row specifies the hidden Layer while the second ％ specifies the output Layer. ％
標簽： back-propagation corresponding input-output algorithm
上傳時間： 2016-12-27
上傳用戶：exxxds
學brew的朋友注意啦，該資料包括以下N多內容： BREW 學習之路.doc BREW編程經驗——Dialog機制的使用方式.doc BREW環境下菜單的制作.doc BREW優化代碼以避免堆存儲碎片.doc BREW中 - 顯示和圖像.doc CDMA 1X業務平臺BREW.doc dynamic app(module) access oem Layer的機制介紹.doc IAlert 接口使用說明.doc IAlert接口使用說明.pdf ITopBottomBar 接口使用.doc ITopBottomBar接口使用說明.pdf 堆棧用法.doc 構建可移植 BREW.doc 基于COM思想實現AEEINTERFACE.doc 淺析COM的思想及原理.doc 深入BREW抽象接口機制.doc 深入BREW消息處理機制.doc 事件處理.doc 新手入門系列-BREW常見錯誤整理.doc 閱讀mediapLayer源代碼.doc 在Brew實現Nokia風格的地址欄.doc 在BREW中處理SMS.doc 中止和恢復應用程序.doc
標簽： brew
上傳時間： 2017-02-08
上傳用戶：三人用菜
3rd Generation Partnership Project Technical Specification Group Radio Access Network Evolved Universal Terrestrial Radio Access [E-UTRA] Physical Layer 鈥?Measurements
標簽： Specification Partnership Generation Technical
上傳時間： 2013-12-25
上傳用戶：問題問題
3rd Generation Partnership Project Technical Specification Group Radio Access Network Evolved Universal Terrestrial Radio Access [E-UTRA] LTE Physical Layer - General Description
標簽： Specification Partnership Generation Technical
上傳時間： 2017-03-19
上傳用戶：小眼睛LSL
pdf格式的英文文獻，是關于認知無線電網絡的，編者是加拿大桂爾夫大學的Qusay H. Mahmoud。ISBN：978-0-470-06196-1 章節內容： 1 Biologically Inspired Networking 2 The Role of Autonomic Networking in Cognitive Networks 3 Adaptive Networks 4 Self-Managing Networks 5 Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges 6 Cross-Layer Design and Optimization in Wireless Networks 等，共計13章，全書348頁，pdf文件383頁。
標簽： 英文
上傳時間： 2014-01-27
上傳用戶：daguda
$Header: /cvsroot/nsnam/ns-2/mac/mac-tdma.cc,v 1.16 2006/02/22 13:25:43 mahrenho Exp $ // // mac-tdma.cc // // Preamble TDMA MAC Layer for single hop. // Centralized slot assignment computing.
標簽： mac-tdma mahrenho cvsroot Header
上傳時間： 2013-12-16
上傳用戶：dave520l
Performance Comparison of Two On-Demand Routing Protocols Depends on Traffic Density by Using UWB-IR as Pyhisical and MAC Layer at Outdoor Peer to Peer Sensor Network
標簽： Performance Comparison On-Demand Protocols
上傳時間： 2017-05-28
上傳用戶：三人用菜
FC上的超級瑪麗C++移植版，基于SDL(Simple DirectMedia Layer)的圖形驅動。SDL相比于DirextX和OpenGL，優勢在于跨平臺和簡單易學。
上傳時間： 2014-01-12
上傳用戶：270189020
