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Connection between SPICE and Square-Root LASSO for sparse parameter estimation

Babu, Prabhu (author)
Department of Electronic and Computer Engineering, HKUST, Hong Kong
Stoica, Peter (author)
Uppsala universitet,Avdelningen för systemteknik,Reglerteknik
 (creator_code:org_t)
Elsevier BV, 2014
2014
English.
In: Signal Processing. - : Elsevier BV. - 0165-1684 .- 1872-7557. ; 95, s. 10-14
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • In this note we show that the sparse estimation technique named Square-Root LASSO (SR-LASSO) is connected to a previously introduced method named SPICE. More concretely we prove that the SR-LASSO with a unit weighting factor is identical to SPICE. Furthermore we show via numerical simulations that the performance of the SR-LASSO changes insignificantly when the weighting factor is varied. SPICE stands for sparse iterative covariance-based estimation and LASSO for least absolute shrinkage and selection operator.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Keyword

LASSO
Square-Root LASSO
SPICE
Covariance fitting
Sparse parameter estimation
Signal Processing
Signalbehandling

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Stoica, Peter
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