A Comparison of Load-based and Queue-based Active Queue Management Algorithms
標(biāo)簽： Queue-based Comparison Algorithms Load-based
上傳時(shí)間： 2015-12-16
上傳用戶：ruixue198909
Search Engine Based on P2p Technology.
標(biāo)簽： Technology Search Engine Based
上傳時(shí)間： 2015-12-20
上傳用戶：zhouchang199
Quantum Platform(QP) is a family of very lightweight, state machine-based frameworks for embedded systems. QP enables developing well-structured embedded applications as a set of concurrently executing hierarchical state machines (UML statecharts).
標(biāo)簽： machine-based lightweight frameworks Platform
上傳時(shí)間： 2015-12-22
上傳用戶：jichenxi0730
DCT-based image watermarking
標(biāo)簽： watermarking DCT-based image
上傳時(shí)間： 2014-01-24
上傳用戶：kikye
The Stanford IBE library is a C implementation of the Boneh-Franklin identity-based encryption scheme. (See Boneh and Franklin, "Identity-Based Encryption from the Weil Pairing", CRYPTO 2001.) There are a few modifications and additions. The Boneh-Franklin scheme is used as a Key Encapsulation Mechanism, and off-the-shelf ciphers and HMACs are used for the actual encryption. (See Lynn, "Authenticated Identity-Based Encryption", available on eprint.
標(biāo)簽： Boneh-Franklin implementation identity-based encryption
上傳時(shí)間： 2013-12-20
上傳用戶：yan2267246
Apply the standard QR-decomposition based LSL algorithm using angle-normalized error to predict/estimate complex-valued processes.
標(biāo)簽： QR-decomposition angle-normalized algorithm standard
上傳時(shí)間： 2015-12-27
上傳用戶：cc1
qrd_rls_AR_pred.m - use the QR decomposition-based RLS algorithm to predict complex-valued AR process.
標(biāo)簽： decomposition-based qrd_rls_AR_pred complex-valued algorithm
上傳時(shí)間： 2015-12-27
上傳用戶：trepb001
This a calculator simulation program written in Labview. It is based on event structure introduced by Labviw 8.0 or later editions.
標(biāo)簽： calculator simulation introduced structure
上傳時(shí)間： 2015-12-27
上傳用戶：123456wh
Reflectance-Based Material Classification for Printed Circuit Boards
標(biāo)簽： Reflectance-Based Classification Material Circuit
上傳時(shí)間： 2013-11-28
上傳用戶：Amygdala
Aiming at the application of passive trackinn based on sensor array, a new passive trackinn usinn sensor array based on particle filter was proposed. Firstly, the“fake points" could be almost entirely and exactly deleted with the aids of the sensor array at the expense of an additional sensor. Secondly, considered the fact that the measurements notten from each array were independent in passive trackinn system, a novel sequential particle filter usinn sensor array with improved distribution was proposed. At last, in a simulation study we compared this approach a壇orithm with traditional trackinn methods. The simulation re-sups show that the proposed method can nreatly improve the state estimation precision of sensor array passive trackinn system.
標(biāo)簽： trackinn passive application Aiming
上傳時(shí)間： 2015-12-31
上傳用戶：trepb001
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