Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks

Shmulik Markovich‐Golan; Alexander Bertrand; Marc Moonen; Sharon Gannot

doi:10.1016/j.sigpro.2014.07.014

ScienceGate Book Chapters

JOURNAL ARTICLE

Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks

Shmulik Markovich‐Golan Alexander Bertrand Marc Moonen Sharon Gannot

Year: 2014 Journal: Signal Processing Vol: 107 Pages: 4-20 Publisher: Elsevier BV

DOI: 10.1016/j.sigpro.2014.07.014

Get Full-Text PDF Get Analytical Report

Keywords:

Beamforming Computer science Speech enhancement Minimum-variance unbiased estimator Node (physics) Microphone Microphone array Wireless Bandwidth (computing) Wireless sensor network Wireless network Algorithm Distributed computing Computer engineering Mathematics Computer network Noise reduction Telecommunications Engineering Artificial intelligence

Metrics

Cited By

7.35

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Advanced Adaptive Filtering Techniques

Physical Sciences → Engineering → Computational Mechanics

Indoor and Outdoor Localization Technologies

Physical Sciences → Engineering → Electrical and Electronic Engineering

Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks

Metrics

Citation History

Topics

Related Documents

Distributed Speech Enhancement in Wireless Acoustic Sensor Networks

Clique-Based Distributed Beamforming For Speech Enhancement In Wireless Sensor Networks

Distributed energy-saving speech enhancement in wireless acoustic sensor networks

Distributed minimum variance equalization in wireless sensor networks

Distributed Sensor Selection for Speech Enhancement With Acoustic Sensor Networks