Name
Abstract | ||
|---|---|---|
This paper proposes a deconvolution technique for gunshot signals aiming at improving direction of arrival estimation and weapon recognition. When dealing with field recorded signals, reflections degrade the performance of these tasks and a signal enhancement technique is required. Our scheme improves a gunshot signal by delaying and summing its reflections. Conventional blind deconvolution schemes are not reliable when applied to impulsive signals. While other techniques impose restrictions on the signal in order to ensure stability, the one presented herein can be used without such limitations. The results of the proposed technique were tested with real gunshot signals and both applications performed well. |
Year | Venue | Keywords |
|---|---|---|
2014 | Signal Processing Conference | acoustic signal processing,deconvolution,direction-of-arrival estimation,object recognition,weapons,DOA estimation,blind deconvolution schemes,deconvolution technique,direction of arrival estimation,field recorded signals,gunshot signal enhancement,weapon recognition,Signal deconvolution,direction of arrival estimation,gunshot signal,weapon recognition |
DocType | Citations | PageRank |
Conference | 2 | 0.44 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelo M. C. R. Borzino | 1 | 2 | 0.44 |
| José Antonio Apolinário | 2 | 21 | 2.47 |
| de Campos, M.L.R. | 3 | 209 | 26.17 |
| de Campos, M.L.R. | 4 | 209 | 26.17 |
| Carla L. Pagliari | 5 | 19 | 7.13 |