|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 129 - Issue 11 |
| Published: November 2015 |
| Authors: Pallavi Agrawal, Madhu Shandilya |
10.5120/ijca2015907013
|
Pallavi Agrawal, Madhu Shandilya . Dual Microphone Beamforming Algorithm for Acoustic Signals. International Journal of Computer Applications. 129, 11 (November 2015), 33-37. DOI=10.5120/ijca2015907013
@article{ 10.5120/ijca2015907013,
author = { Pallavi Agrawal,Madhu Shandilya },
title = { Dual Microphone Beamforming Algorithm for Acoustic Signals },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 129 },
number = { 11 },
pages = { 33-37 },
doi = { 10.5120/ijca2015907013 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Pallavi Agrawal
%A Madhu Shandilya
%T Dual Microphone Beamforming Algorithm for Acoustic Signals%T
%J International Journal of Computer Applications
%V 129
%N 11
%P 33-37
%R 10.5120/ijca2015907013
%I Foundation of Computer Science (FCS), NY, USA
This paper covers delay-and-sum beamformer and Filter and sum beamformer - Minimum Variance Distortion-less Response (MVDR) beamformer. Both the beamformers were simulated and tested in terms of noise source separation at various frequencies and computational complexity using MATLAB. Even though Generalized Side-Lobe Cancellers (GSC), Superdirectivity and Post-Filtering are also available. It actually covers two-sensor array beamforming which can be extended to multisensory array. MVDR beamformer gave better results as compared to delay-and-sum beamformer, as it adopts to noise condition and also improves the beamformer output, but has a higher computational complexity. Seeing the simulation results, MVDR proves to be a better option for implementing on smart phone applications.