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Joint DOA and Multi-Pitch Estimation Via Block Sparse Dictionary Learning

Kronvall, Ted LU ; Adalbjörnsson, Stefan Ingi LU and Jakobsson, Andreas LU orcid (2014) 22nd European Signal Processing Conference - EUSIPCO 2014
Abstract
In this paper, we introduce a novel sparse method for joint estimation of the direction of arrivals (DOAs) and pitches of a set of multi-pitch signals impinging on a sensor array. Extending on earlier approaches, we formulate a novel dictionary learning framework from which an estimate is formed without making assumptions on the model orders. The proposed method alternatively uses a block sparse approach to estimate the pitches, using an alternating direction method of multipliers framework, and alternatively a nonlinear least squares approach to estimate the DOAs. The preferable performance of the proposed algorithm, as compared to earlier methods, is shown using numerical examples.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
multi-pitch estimation, group sparsity, block sparsity, dictionary learning, ADMM, direction-of-arrival
host publication
European Signal Processing Conference
pages
5 pages
publisher
EURASIP
conference name
22nd European Signal Processing Conference - EUSIPCO 2014
conference location
Lissabon, Portugal
conference dates
2014-09-01 - 2014-09-05
external identifiers
  • scopus:84911911739
ISSN
2219-5491
language
English
LU publication?
yes
id
50422c98-79d4-4eff-8471-87c998f54bf6 (old id 4588324)
alternative location
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569925091.pdf
date added to LUP
2016-04-01 14:44:21
date last changed
2021-09-15 03:55:35
@inproceedings{50422c98-79d4-4eff-8471-87c998f54bf6,
  abstract     = {In this paper, we introduce a novel sparse method for joint estimation of the direction of arrivals (DOAs) and pitches of a set of multi-pitch signals impinging on a sensor array. Extending on earlier approaches, we formulate a novel dictionary learning framework from which an estimate is formed without making assumptions on the model orders. The proposed method alternatively uses a block sparse approach to estimate the pitches, using an alternating direction method of multipliers framework, and alternatively a nonlinear least squares approach to estimate the DOAs. The preferable performance of the proposed algorithm, as compared to earlier methods, is shown using numerical examples.},
  author       = {Kronvall, Ted and Adalbjörnsson, Stefan Ingi and Jakobsson, Andreas},
  booktitle    = {European Signal Processing Conference},
  issn         = {2219-5491},
  language     = {eng},
  publisher    = {EURASIP},
  title        = {Joint DOA and Multi-Pitch Estimation Via Block Sparse Dictionary Learning},
  url          = {https://lup.lub.lu.se/search/files/4135676/4588325.pdf},
  year         = {2014},
}