Name
Abstract | ||
|---|---|---|
Source localization has been studied in the spatial domain using differential geometry in earlier work. However, parameters of the sensor array manifold have hitherto not been investigated for source localization in spherical harmonics domain. The objective of this work is to represent and model the manifold surface using differential geometry. The system model for source localization over a spherical harmonic manifold is first formulated. Subsequently, the manifold parameters are modeled in the spherical harmonics domain. Source localization methods using MUSIC and MVDR over the spherical harmonics manifold are developed. Experiments on source localization using a spherical microphone array indicate high resolution in noise. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICASSP.2015.7177925 | 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Keywords | Field | DocType |
Differential geometry,manifold,spherical harmonics domain,source localization,MUSIC | Mathematical optimization,Multiple signal classification,Computer science,Sensor array,Spherical harmonics,Microphone array,Harmonic analysis,Source localization,Differential geometry,Manifold | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arun Parthasarathy | 1 | 0 | 0.34 |
| Saurabh Kataria | 2 | 9 | 5.21 |
| Lalan Kumar | 3 | 21 | 4.70 |
| Rajesh M. Hegde | 4 | 283 | 43.18 |