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Electronic engineering / Robot control / Acoustics / Monte Carlo methods / Estimation theory / Particle filter / Video tracking / Acoustic source localization / Beamforming / Signal processing / Applied mathematics / Statistics


EXPERIMENTAL COMPARISON OF PARTICLE FILTERING ALGORITHMS FOR ACOUSTIC SOURCE LOCALIZATION IN A REVERBERANT ROOM Eric A. Lehmann½ , Darren B. Ward¾ , and Robert C. Williamson ½ Department of Telecommunications Engineer
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Document Date: 2002-11-07 01:15:02

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File Size: 149,34 KB

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City

Orlando / Berlin / Salt Lake City / /

Country

United States / /

Facility

Electronic Engineering Imperial College / RSISE The Australian National University / /

IndustryTerm

proposed source localization algorithms / Software setup / particle filtering algorithm / particle filter algorithms / particle filter algorithm / particle filter processing / reproducible and algorithm / closed-form solution / source localization algorithms / generic particle filtering algorithm / /

Organization

Department of Telecommunications Engineering / U.S. Securities and Exchange Commission / Australian Research Council / Department of Electrical & Electronic Engineering Imperial College London United Kingdom / Australian National University / /

Person

D.J. Salmond / Kris Modrak / Eric A. Lehmann / N.J. Gordon / A.F.M. Smith / Robert C. Williamson / Form / Darren B. Ward / Arnaud Doucet / Nando de Freitas / /

Position

frequency-averaged reverberation time RT / speaker / dynamical model / /

Technology

particle filter algorithms / proposed source localization algorithms / generic particle filtering algorithm / particle filtering algorithm / source localization algorithms / Condensation / EXPERIMENTAL COMPARISON OF PARTICLE FILTERING ALGORITHMS / Simulation / particle filter algorithm / /

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