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» Estimating random variables from random sparse observations
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DAC
2005
ACM
14 years 9 months ago
A non-parametric approach for dynamic range estimation of nonlinear systems
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
Bin Wu, Jianwen Zhu, Farid N. Najm
DAWAK
2009
Springer
14 years 3 months ago
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...
CORR
2010
Springer
96views Education» more  CORR 2010»
13 years 7 months ago
Rate-distortion function via minimum mean square error estimation
Abstract—We derive a simple general parametric representation of the rate–distortion function of a memoryless source, where both the rate and the distortion are given by integr...
Neri Merhav
CORR
2008
Springer
138views Education» more  CORR 2008»
13 years 8 months ago
An Improved Robust Fuzzy Extractor
We consider the problem of building robust fuzzy extractors, which allow two parties holding similar random variables W, W to agree on a secret key R in the presence of an active ...
Bhavana Kanukurthi, Leonid Reyzin
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
13 years 3 months ago
Concentration of measure inequalities for compressive Toeplitz matrices with applications to detection and system identification
In this paper, we derive concentration of measure inequalities for compressive Toeplitz matrices (having fewer rows than columns) with entries drawn from an independent and identic...
Borhan Molazem Sanandaji, Tyrone L. Vincent, Micha...