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AICT
2006
IEEE
129views Communications» more  AICT 2006»
13 years 8 months ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta
DSP
2008
13 years 5 months ago
Fisher information and noise-aided power estimation from one-bit quantizers
We investigate power estimation on a random noise from measurements taken by one-bit quantizers, with an efficacy assessed by the Fisher information. In isolated quantizers, an op...
François Chapeau-Blondeau, Solenna Blanchar...
TIT
2008
95views more  TIT 2008»
13 years 4 months ago
Distributed Estimation Via Random Access
The problem of distributed Bayesian estimation is considered in the context of a wireless sensor network. The Bayesian estimation performance is analyzed in terms of the expected F...
Animashree Anandkumar, Lang Tong, Ananthram Swami
PAMI
2010
180views more  PAMI 2010»
12 years 11 months ago
Point Set Registration via Particle Filtering and Stochastic Dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithms...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
INFOCOM
2007
IEEE
13 years 11 months ago
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
Junshan Zhang, Dong Zheng, Mung Chiang