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» Quantizing Density Estimators
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AICT
2006
IEEE
129views Communications» more  AICT 2006»
13 years 11 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
ICASSP
2011
IEEE
12 years 11 months ago
Identification of ARMA models using intermittent and quantized output observations
This paper studies system identification of ARMA models whose outputs are subject to finite-level quantization and random packet dropouts. A simple adaptive quantizer and the co...
Damián Marelli, Keyou You, Minyue Fu
ICASSP
2011
IEEE
12 years 11 months ago
Quantization and power allocation in wireless sensor networks with correlated data
Abstract— This work addresses the problem of joint quantization and power allocation in wireless sensor networks where sensors observe a source, quantize their observations and t...
Muhammad Hafeez Chaudhary, Luc Vandendorpe
ICASSP
2009
IEEE
14 years 2 months ago
Combining mixture weight pruning and quantization for small-footprint speech recognition
Semi-continuous acoustic models, where the output distributions for all Hidden Markov Model states share a common codebook of Gaussian density functions, are a well-known and prov...
David Huggins-Daines, Alexander I. Rudnicky
ICRA
2009
IEEE
122views Robotics» more  ICRA 2009»
14 years 2 months ago
Cooperative multi-robot localization under communication constraints
— This paper addresses the problem of cooperative localization (CL) under severe communication constraints. Specifically, we present minimum mean square error (MMSE) and maximum...
Nikolas Trawny, Stergios I. Roumeliotis, Georgios ...