Sciweavers

2034 search results - page 59 / 407
» Substring Selectivity Estimation
Sort
View
TSP
2008
102views more  TSP 2008»
13 years 8 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Vladimir Katkovnik, Vladimir Spokoiny
ICASSP
2011
IEEE
13 years 7 days ago
Parameter estimation using sparse reconstruction with dynamic dictionaries
We consider the problem of parameter estimation for signals characterized by sums of parameterized functions. We present a dynamic dictionary subset selection approach to paramete...
Christian D. Austin, Joshua N. Ash, Randolph L. Mo...
CVPR
2010
IEEE
13 years 6 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
GLOBECOM
2008
IEEE
14 years 3 months ago
Numerical Performance Evaluation of OFDM Systems Affected by Transmitter Nonlinearities, Phase Noise and Channel Estimation Erro
Abstract—In this contribution we present a numerical approach to evaluate the bit error rate and mutual information of OFDM links affected by transmitter nonlinearities, phase no...
Steffen Bittner, Marco Krondorf, Gerhard Fettweis
IJCNN
2008
IEEE
14 years 2 months ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris