International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 129 - Issue 11 |
Published: November 2015 |
Authors: Pallavi Agrawal, Madhu Shandilya |
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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.