@inproceedings{ce89ab744ba64297b7e09431e9b53f45,
title = "Joint DOA and Multi-Pitch Estimation Using Block Sparsity",
abstract = "In this paper, we propose a novel method to estimate the fundamental frequencies and directions-of-arrival (DOA) of multi-pitch signals impinging on a sensor array. Formulating the estimation as a group sparse convex optimization problem, we use the alternating direction of multipliers method (ADMM) to estimate both temporal and spatial correlation of the array signal. By first jointly estimating both fundamental frequencies and time-of-arrivals (TOAs) for each sensor and sound source, we then form a non-linear least squares estimate to obtain the DOAs. Numerical simulations indcate the preferable performance of the proposed estimator as compared to current state-of-the-art methods.",
keywords = "multi-pitch estimation, group sparsity, convex optimization, ADMM, direction-of-arrival, time-of-arrival.",
author = "Ted Kronvall and Adalbj{\"o}rnsson, {Stefan Ingi} and Andreas Jakobsson",
year = "2014",
doi = "10.1109/ICASSP.2014.6854344",
language = "English",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
pages = "3958--3962",
booktitle = "Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on",
address = "United States",
note = "2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014) ; Conference date: 04-05-2014 Through 09-05-2014",
}