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» Signal Probability Based Statistical Timing Analysis
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JCNS
2000
165views more  JCNS 2000»
15 years 2 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina
101
Voted
NOLISP
2007
Springer
15 years 8 months ago
Phase-Based Methods for Voice Source Analysis
Voice source analysis is an important but difficult issue for speech processing. In this talk, three aspects of voice source analysis recently developed at LIMSI (Orsay, France) a...
Christophe d'Alessandro, Baris Bozkurt, Boris Dova...
222
Voted
VLDB
2007
ACM
122views Database» more  VLDB 2007»
16 years 2 months ago
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Arnab Bhattacharya, Anand Meka, Ambuj K. Singh
ICC
2007
IEEE
15 years 8 months ago
Digital Code Tracking Loops Over Frequency-Selective Fading Channels
Abstract— The performance of a noncoherent digital delaylock loop (DDLL) with a RAKE scheme for direct-sequence spread-spectrum code division multiple access (DS/SS-CDMA) signals...
Tsan-Ming Wu, Tsung-Hua Tsai
OSN
2007
132views more  OSN 2007»
15 years 2 months ago
Intermediate-node-initiation (INI): A generalized signaling framework for optical burst-switched networks
In this paper, we discuss different signaling techniques for optical burst-switched networks. We develop a generalized signaling framework for optical burst-switched networks, whi...
Vinod Vokkarane