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» Free deconvolution for signal processing applications
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CORR
2007
Springer
110views Education» more  CORR 2007»
13 years 4 months ago
Free deconvolution for signal processing applications
—Situations in many fields of research, such as digital communications, nuclear physics and mathematical finance, can be modelled with random matrices. When the matrices get la...
Øyvind Ryan, Mérouane Debbah
ECML
2006
Springer
13 years 8 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
CLUSTER
2006
IEEE
13 years 10 months ago
A Parallel Algorithm for the Solution of the Deconvolution Problem on Heterogeneous Networks
In this work we present a parallel algorithm for the solution of a least squares problem with structured matrices. This problem arises in many applications mainly related to digit...
Pedro Alonso, Antonio M. Vidal, Alexey L. Lastovet...
CORR
2008
Springer
70views Education» more  CORR 2008»
13 years 4 months ago
Random Vandermonde Matrices-Part II: Applications
In this paper, we review some potential applications of random Vandermonde matrices in the field of signal processing and wireless communications. Using asymptotic results based on...
Øyvind Ryan, Mérouane Debbah
ICASSP
2011
IEEE
12 years 8 months ago
Revisiting adaptive least-squares estimation and application to online sparse signal recovery
This paper presents a novel time-adaptive estimation technique by revisiting the classical Wiener-Hopf equation. Any convex and not necessarily differentiable function can be used...
Konstantinos Slavakis, Yannis Kopsinis, Sergios Th...