rc5 key expansion algorithm implementation in vhdl, using state machine too. use ieee papers for more detailed description
標簽： implementation expansion algorithm machine
上傳時間： 2017-07-14
上傳用戶：lyy1234
useful papers on som with toolbox.
標簽： toolbox useful papers with
上傳時間： 2014-01-18
上傳用戶：gxrui1991
This has a collection of IEEE papers on fingerprint identification system.
標簽： identification fingerprint collection papers
上傳時間： 2014-01-11
上傳用戶：huyiming139
關于指紋識別方面的論文 fingerprint identification papers
標簽： identification fingerprint papers 指紋識別
上傳時間： 2013-12-23
上傳用戶：bcjtao
AT91SAM7A1_whitepaper these are white papers for ARM
標簽： whitepaper papers these white
上傳時間： 2017-09-27
上傳用戶：PresidentHuang
This m-file displays the time waveform for the Gaussian pulse function and the first and second derivatives of the Gaussian pulse function for a 0.5 nanosecond pulse width. Other values of pulse widths may be used by changing fs,t,t1. The program uses the actual first and second derivative equations for the Gaussian pulse waveforms. The first derivative is considered to be the monocycle or monopulse as discussed in most papers. The second derivative is the waveform generated from a dipole antenna used in a UWB system. Other information is contained in the file.
上傳時間： 2015-05-08
上傳用戶：leixinzhuo
- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.
標簽： Environments multiplexer Continuous XCS
上傳時間： 2015-07-04
上傳用戶：Avoid98
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
標簽： meta-learning classifiers combining Boosting
上傳時間： 2016-01-30
上傳用戶：songnanhua
thinkinjava2English Thinking in Java, 2nd Edition, Release 11 To be published by Prentice-Hall mid-June, 2000 Bruce Eckel, President, MindView, Inc. Planet PDF brings you the Portable Document Format (PDF) version of Thinking in Java (2nd Edition). Planet PDF is the premier PDF-related site on the web. There is news, software, white papers, interviews, product reviews, Web links, code samples, a forum, and regular articles by many of the most prominent and respected PDF experts in the world. Visit our sites for more detail: http://www.planetpdf.com/ http://www.codecuts.com/ http://www.pdfforum.com/ http://www.pdfstore.com/
標簽： thinkinjava2English Prentice-Hall published Thinking
上傳時間： 2014-01-15
上傳用戶：ANRAN
# This resource site for "Grid Computing: Making the Global Infrastructure a Reality " edited by Fran Berman, Geoffrey Fox and Tony Hey. This is a book (over 1000 pages) published March 2003 by Wiley and (for those papers not published elsewhere) a special issue of Concurrency and Computation: Practice and Experience
標簽： Infrastructure Computing resource Reality
上傳時間： 2013-11-28
上傳用戶：924484786
