Name
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 indicate the preferable performance of the proposed estimator as compared to current state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICASSP.2014.6854344 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
array signal processing,convex programming,direction-of-arrival estimation,frequency estimation,least squares approximations,time-of-arrival estimation,ADMM,alternating direction of multipliers method,block sparsity,direction-of-arrival estimation,fundamental frequency estimation,group sparse convex optimization problem,joint DOA,multipitch estimation,multipitch signal,nonlinear least square estimate,numerical simulations,sensor array signal,sound source,spatial correlation,temporal correlation,time-of-arrival estimation,ADMM,convex optimization,direction-of-arrival,group sparsity,multi-pitch estimation,time-of-arrival | Least squares,Mathematical optimization,Spatial correlation,Pattern recognition,Computer science,Direction of arrival,Sensor array,Artificial intelligence,Convex optimization,Estimator,Time of arrival | Conference |
ISSN | Citations | PageRank |
1520-6149 | 8 | 0.52 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kronvall, T. | 1 | 34 | 5.14 |
| Stefan Ingi Adalbjornsson | 2 | 77 | 8.23 |
| Andreas Jakobsson | 3 | 409 | 43.32 |