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Using the Pearson correlation coefficient to develop an optimally weighted cross relation based blind SIMO identification algorithm

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3 Author(s)
Yiteng Huang ; WeVoice, Inc., Bridgewater, NJ 08807, USA ; Jacob Benesty ; Jingdong Chen

Blind SIMO identification is challenging when additive noise is strong and for ill-conditioned/acoustic SIMO systems. A weighted cross relation (CR) algorithm presumably can be robust to noise but there lacks a practical way to define the weights. In this paper, the Pearson correlation coefficient (PCC) is used to develop an optimally weighted CR algorithm, which is validated by simulations.

Published in:

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

Date of Conference:

19-24 April 2009