NDLI: A state-space partitioned-block adaptive filter for echo cancellation using inter-band correlations in the Kalman gain computation

Content Provider	IEEE Xplore Digital Library
Author	Valero, M.L. Mabande, E. Habets, E.A.P.
Copyright Year	2015
Description	Author affiliation: Int. Audio Labs. Erlangen, Erlangen, Germany (Valero, M.L.; Mabande, E.; Habets, E.A.P.)
Abstract	A partitioned-block-based architecture for a model-based acoustic echo canceller in the frequency domain was recently presented. Partitioned-block-based frequency domain adaptive filters provide a lower algorithmic delay compared to the non-partitioned formulations, which is achieved by partitioning the acoustic echo path and hence shortening the time-frequency transforms. Under these circumstances, avoiding the linearisation of the involved circular convolutions can significantly impair the performance. This paper extends the already proposed diagonalization of the Kalman gain matrix by taking into account the neglected inter-band correlations to improve the performance of the acoustic echo canceller. This comes at the cost of a moderate increase in the algorithmic complexity.
Starting Page	599
Ending Page	603
File Size	309632
Page Count	5
File Format	PDF
ISBN	9781467369978
DOI	10.1109/ICASSP.2015.7178039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-19
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Acoustics Covariance matrices Frequency-domain analysis Complexity theory Kalman filters Correlation Convolution Kalman Filter Acoustic Echo Cancellation Frequency Domain Adaptive Filters
Content Type	Text
Resource Type	Article

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