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TSP
2008
103views more  TSP 2008»
15 years 19 days ago
Distributed Adaptive Quantization for Wireless Sensor Networks: From Delta Modulation to Maximum Likelihood
Abstract-- We consider distributed parameter estimation using quantized observations in wireless sensor networks where due to bandwidth constraint, each sensor quantizes its local ...
Jun Fang, Hongbin Li
103
Voted
TVLSI
2008
197views more  TVLSI 2008»
15 years 19 days ago
Leakage Minimization of SRAM Cells in a Dual-Vt and Dual-Tox Technology
-- Aggressive CMOS scaling results in low threshold voltage and thin oxide thickness for transistors manufactured in deep submicron regime. As a result, reducing the subthreshold a...
Behnam Amelifard, Farzan Fallah, Massoud Pedram
PKDD
2010
Springer
150views Data Mining» more  PKDD 2010»
14 years 11 months ago
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms
Given a contact network that changes over time (say, day vs night connectivity), and the SIS (susceptible/infected/susceptible, flu like) virus propagation model, what can we say ...
B. Aditya Prakash, Hanghang Tong, Nicholas Valler,...
TASLP
2010
118views more  TASLP 2010»
14 years 11 months ago
Time-Frequency Sparsity by Removing Perceptually Irrelevant Components Using a Simple Model of Simultaneous Masking
Abstract—We present an algorithm for removing timefrequency components, found by a standard Gabor transform, of a “real-world” sound while causing no audible difference to th...
Péter Balázs, Bernhard Laback, Gerha...
82
Voted
CORR
2010
Springer
97views Education» more  CORR 2010»
14 years 10 months ago
On the Scaling Law for Compressive Sensing and its Applications
1 minimization can be used to recover sufficiently sparse unknown signals from compressed linear measurements. In fact, exact thresholds on the sparsity, as a function of the ratio...
Weiyu Xu, Ao Tang