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DSP
2006
13 years 10 months ago
Multicomponent chirp signals analysis using product cubic phase function
This paper presents an algorithm for estimating the parameters of multicomponent chirp signals. The estimator is based on the cubic phase function (CPF), which is efficient to est...
Pu Wang, Jianyu Yang
JAT
2006
64views more  JAT 2006»
13 years 10 months ago
Nonlinear function approximation: Computing smooth solutions with an adaptive greedy algorithm
Opposed to linear schemes, nonlinear function approximation allows to obtain a dimension independent rate of convergence. Unfortunately, in the presence of data noise typical algo...
Andreas Hofinger
IJON
2002
98views more  IJON 2002»
13 years 9 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
MOC
2002
75views more  MOC 2002»
13 years 9 months ago
Quincunx fundamental refinable functions and quincunx biorthogonal wavelets
Abstract. We analyze the approximation and smoothness properties of quincunx fundamental refinable functions. In particular, we provide a general way for the construction of quincu...
Bin Han 0003, Rong-Qing Jia
TIT
1998
96views more  TIT 1998»
13 years 9 months ago
Nonparametric Estimation of Transfer Functions: Rates of Convergence and Adaptation
Abstract— The paper deals with estimating transfer functions of stable linear time-invariant systems under stochastic assumptions. We adopt a nonparametric minimax approach for m...
Alexander Goldenshluger