Joint DOA and Multi-Pitch Estimation Via Block Sparse Dictionary Learning
(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:
https://lup.lub.lu.se/record/4588324
- author
- Kronvall, Ted LU ; Adalbjörnsson, Stefan Ingi LU and Jakobsson, Andreas LU
- organization
- publishing date
- 2014
- 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
- 2022-01-28 02:14:48
@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}}, keywords = {{multi-pitch estimation; group sparsity; block sparsity; dictionary learning; ADMM; direction-of-arrival}}, 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}}, }