Abstract
In recent years, signal processing with ad hoc microphone arrays has attracted a lot of attention. Speech enhancement in noisy, interfered, and reverberant environments is one of the problems targeted by ad hoc microphone arrays. Most of the proposed solutions require knowledge of fingerprints, such as acoustic transfer functions, which may not be known as accurately as required in practical situations. In this paper, a distributed signal subspace filtering method is proposed which is not restricted to a special graph topology. Here, the maximum signal to interference-plus-noise ratio (max-SINR) criterion is used with the primal-dual method of multipliers for distributed filtering. The paper investigates the convergence of the algorithm in both synchronous and asynchronous schemes, and also discusses some practical pros and cons. The applicability of the proposed method is demonstrated by means of simulation results.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| Number of pages | 5 |
| Publisher | IEEE |
| Publication date | 2017 |
| Pages | 151-155 |
| ISBN (Electronic) | 978-1-5090-4117-6 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing: The Internet of Signals - New Orleans, United States Duration: 5 Mar 2017 → 9 Mar 2017 http://www.ieee-icassp2017.org/ http://www.ieee-icassp2017.org/ |
Conference
| Conference | The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing |
|---|---|
| Country/Territory | United States |
| City | New Orleans |
| Period | 05/03/2017 → 09/03/2017 |
| Internet address |
| Series | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
|---|---|
| ISSN | 1520-6149 |