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NIPS
2001
13 years 6 months ago
Quantizing Density Estimators
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
Peter Meinicke, Helge Ritter
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 10 months ago
The Kalman like particle filter: Optimal estimation with quantized innovations/measurements
— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
Ravi Teja Sukhavasi, Babak Hassibi
CORR
2007
Springer
82views Education» more  CORR 2007»
13 years 5 months ago
One-bit Distributed Sensing and Coding for Field Estimation in Sensor Networks
Abstract—This paper formulates and studies a general distributed field reconstruction problem using a dense network of noisy one-bit randomized scalar quantizers in the presence...
Ye Wang, Prakash Ishwar, Venkatesh Saligrama
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
13 years 10 months ago
Stability of quantized time-delay nonlinear systems: A Lyapunov-Krasowskii-functional approach
Lyapunov-Krasowskii functionals are used to design quantized continuous-time control laws for nonlinear systems in the presence of time-invariant pointwise delays in the input. Th...
Claudio De Persis, Frédéric Mazenc
ICIP
2004
IEEE
14 years 7 months ago
Estimation of attacker's scale and noise variance for qim-dc watermark embedding
Quantization-based watermarking schemes are vulnerable to amplitude scaling. Therefore, the scaling factor needs to be estimated at the decoder side, such that the received (attac...
Reginald L. Lagendijk, Ivo D. Shterev