Ultra wideband (UWB) technology, well-known for its use in ground penetrating radar, has also been of considerable interest in communications and radar applications demanding low probability of intercept and detection (LPI/D), multipath immunity, high data throughput, precision ranging and localization.
標(biāo)簽： penetrating technology well-known wideband
上傳時(shí)間： 2014-01-22
上傳用戶：edisonfather
Ultra wideband (UWB) technology, well-known for its use in ground penetrating radar, has also been of considerable interest in communications and radar applications demanding low probability of intercept and detection (LPI/D), multipath immunity, high data throughput, precision ranging and localization.
標(biāo)簽： penetrating technology well-known wideband
上傳時(shí)間： 2013-12-11
上傳用戶：aysyzxzm
The Software Engineering Institute’s (SEI) Capability Maturity Model (CMM) provides a well-known benchmark of software process maturity. The CMM has become a popular vehicle for assessing the maturity of an organization’s software process in many domains. This white paper describes how the Rational Unified Process can support an organization that is trying to achieve CMM Level-2, Repeatable, and Level-3, Defined, software process maturity levels.
標(biāo)簽： Engineering Capability well-known Institute
上傳時(shí)間： 2017-02-27
上傳用戶：zhichenglu
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.
標(biāo)簽： well-known algorithm AdaBoost Adaptive
上傳時(shí)間： 2014-01-15
上傳用戶：qiaoyue
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
標(biāo)簽： well-known algorithm AdaBoost Adaptive
上傳時(shí)間： 2013-12-31
上傳用戶：jiahao131
This project features a full-hardware sound compressor using the well known algorithm: IMA ADPCM. The core acts as a slave WISHBONE device. The output is perfectly compatible with any sound player with the IMA ADPCM codec (included by default in every Windows). Includes a testbench that takes an uncompressed PCM 16 bits Mono WAV file and outputs an IMA ADPCM compressed WAV file. Compression ratio is fixed for IMA-ADPCM, being 4:1. PLEASE NOTICE THAT THIS CORE IS LICENSED UNDER http://creativecommons.org/licenses/by-nc-sa/3.0/ (Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported). That means you may use it only for NON-COMMERCIAL purposes.
標(biāo)簽： full-hardware compressor algorithm features
上傳時(shí)間： 2014-01-14
上傳用戶：Shaikh
ers block a well-known game easy and funny
標(biāo)簽： well-known block funny easy
上傳時(shí)間： 2013-12-04
上傳用戶：netwolf
Ekiga (formely known as GnomeMeeting) is an open source VoIP and video conferencing application for GNOME. Ekiga uses both the H.323 and SIP protocols. It supports many audio and video codecs, and is interoperable with other SIP compliant software and also with Microsoft NetMeeting
標(biāo)簽： GnomeMeeting conferencing application formely
上傳時(shí)間： 2014-10-11
上傳用戶：wmwai1314
Retrieving list of known operators using Radio Interface Layer (RIL) Windows Mobile
標(biāo)簽： Retrieving Interface operators Windows
上傳時(shí)間： 2014-12-02
上傳用戶：sqq
Solution to the "8 Queens Problem" (8 Damen Problem) known from Chess
標(biāo)簽： Problem Solution Queens Damen
上傳時(shí)間： 2017-08-12
上傳用戶：894898248
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