TheTool is highy customizable map editor(based on QT) which can be extended via LUA scripts. A first implentation is ready and can be published to the public. The editor is the perfect tool who wants to design some 3d games but don t have time to write
標簽： customizable extended TheTool scripts
上傳時間： 2013-12-12
上傳用戶：lanwei
This a very simple Yee algorithm 3D FDTD code in C implementing the free space form of Maxwell s equations on a Cartesian grid. There are no internal materials or geometry. The code as delivered simulates an idealized rectangular waveguide by treating the interior of the mesh as free space/air and enforcing PEC (perfect Electric Conductor) conditions on the faces of the mesh.
標簽： implementing algorithm Maxwell simple
上傳時間： 2015-05-14
上傳用戶：水中浮云
This is my assignment for my tutor s Class. and many problems exist,so you should comprhend it and improve it to perfect.
標簽： assignment and comprhend problems
上傳時間： 2015-06-22
上傳用戶：jyycc
American Gladiator,You are consulting for a game show in which n contestants are pitted against n gladiators in order to see which contestants are the best. The game show aims to rank the contestants in order of strength this is done via a series of 1-on-1 matches between contestants and gladiators. If the contestant is stronger than the gladiator, then the contestant wins the match otherwise, the gladiator wins the match. If the contestant and gladiator have equal strength, then they are “perfect equals” and a tie is declared. We assume that each contestant is the perfect equal of exactly one gladiator, and each gladiator is the perfect equal of exactly one contestant. However, as the gladiators sometimes change from one show to another, we do not know the ordering of strength among the gladiators.
標簽： contestants consulting Gladiator are
上傳時間： 2013-12-18
上傳用戶：windwolf2000
％ ％ set some variables in the workspace to control behaviour: ％ ％ graphicsMode 0 no graphics, ％ 1 graphics, particles, beacons, ground truth ％ 2 graphics, as above + range circles ％ ％ perfect 0 use beacon range data ％ 1 use ground truth range data ％ clear a
標簽： graphicsMode behaviour variables workspace
上傳時間： 2014-01-10
上傳用戶：yiwen213
java寫的遠程屏幕控制系統,在linux和window之間實現了遠程互相控制,當時是為了在校園里實現一套實用級的遠程教學系統(和我前面上傳的jqq結合),現在沒時間做了,請同志們實現我的夢想吧(實現一個類似QQ的跨平臺遠程教學系統,采用先進算法,是遠程控制達到perfect),別忘了SHARE哦
上傳時間： 2014-01-14
上傳用戶：1583060504
Welcome to the Wrox Press C++ tutorial "I hope you ll enjoy reading this tutorial with your portable, your work, or your home PC. It s a perfect companion to the Introduction to Visual C++ 6.0 Standard Edition manual and is a proven aid to understanding the C++ language. The material in this tutorial is adapted from my book Beginning Visual C++ 6.0, to provide you with a thorough grounding in pure C++. I ve been careful to address the new standards in C++ laid out by the ANSI and ISO committees and I encourage you to adopt these conventions so that your programs are maintainable for years to come.
標簽： tutorial Welcome reading portabl
上傳時間： 2016-01-26
上傳用戶：wsf950131
Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.
標簽： performance equalizers Adaptive several
上傳時間： 2016-02-16
上傳用戶：yan2267246
it has been designed to calculate the ergodic and outage capacity of a MIMO Rayleigh channel considering no CSIT and perfect CSIT The channel is assumed to be spatially correlated according to a Kronecker model but temporally uncorrelated.
標簽： calculate Rayleigh designed capacity
上傳時間： 2013-12-20
上傳用戶：trepb001
This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
標簽： performance likelihood decision feedback
上傳時間： 2013-11-25
上傳用戶：1079836864
