Cramer-Rao bound for sparse signals fitting the low-rank model with small number of parameters

Mahdi Shaghaghi; Sergiy A. Vorobyov

doi:10.1109/LSP.2015.2409896

Cramer-Rao bound for sparse signals fitting the low-rank model with small number of parameters

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

9 Sitaatiot (Scopus)

Alkuperäiskieli	Englanti
Sivut	14971501
Julkaisu	IEEE Signal Processing Letters
Vuosikerta	22
Numero	9
DOI - pysyväislinkit	https://doi.org/10.1109/LSP.2015.2409896
Tila	Julkaistu - 2015
OKM-julkaisutyyppi	A1 Julkaistu artikkeli, soviteltu

Tutkimusalat

Compressed sensing, CramérRao bound, DOA
estimation, low-rank model, spectral estimation

Pääsy asiakirjaan

10.1109/LSP.2015.2409896

Muut tiedostot ja linkit

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7054444

Siteeraa tätä

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KW - Compressed sensing, CramérRao bound, DOA

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KW - estimation, low-rank model, spectral estimation

KW - Compressed sensing, CramérRao bound, DOA

KW - estimation, low-rank model, spectral estimation

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