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Sparse Recovery of Streaming Signals Using ℓ1-Homotopy

Author
SALMAN ASIF, M1 ; ROMBERG, Justin2
[1] Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States
[2] School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States
Source

IEEE transactions on signal processing. 2014, Vol 62, Num 13-16, pp 4209-4223, 15 p ; ref : 53 ref

CODEN
ITPRED
ISSN
1053-587X
Scientific domain
Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Basis pursuit denoising Kalman filter Lasso compressed sensing lapped transform weighted ℓ1 norm
Keyword (fr)
Algorithme Etat actuel Filtre Kalman Homotopie Mise à jour Modèle dynamique Modèle linéaire Méthode itérative Représentation parcimonieuse Réduction bruit Temps rétablissement Traitement signal Transformation orthogonale Transmission en continu Transmission information Variation temporelle Echantillonnage parcimonieux
Keyword (en)
Algorithm State of the art Kalman filter Homotopy Updating Dynamic model Linear model Iterative method Sparse representation Noise reduction Recovery time Signal processing Orthogonal transformation Streaming Information transmission Time variation Compressed sensing
Keyword (es)
Algoritmo Estado actual Filtro Kalman Homotopía Actualización Modelo dinámico Modelo lineal Método iterativo Representación parsimoniosa Reducción ruido Tiempo restablecimiento Procesamiento señal Transformación ortogonal Transmisión fluyente Transmisión información Variación temporal
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04C Sampling, quantization

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28721812

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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