DFT modulated filter bank design for oversampled subband systems

Eneman, Koen; Moonen, Marc

doi:10.1016/s0165-1684(01)00084-6

Cited by 35 publications

(25 citation statements)

References 7 publications

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“…In this section, we suggest incorporating the TLS subspace method into a subband structure. The use of subbands for splitting adaptive filters, especially in the context of echo cancellation, has gained recent interest in the literature [14,15,16,17]. However, the use of subbands in subspace methods is not that common.…”

Section: Subband Methodsmentioning

confidence: 99%

“…Now, (17) will not be accurate anymore. First, the null subspace matrix Ᏻ should be determined in a slightly different manner than suggested in (8).…”

Section: Two Microphone Noisy Casementioning

confidence: 99%

“…Second, the matrix Ᏻ will not in general have an eigenvalue of value 0. A reasonable approximation for the solution, although not exact, would be to transform (17) into the following problem:Ᏻ…”

Section: Two Microphone Noisy Casementioning

confidence: 99%

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Subspace Methods for Multimicrophone Speech Dereverberation

Gannot

Moonen

2003

EURASIP J. Adv. Signal Process.

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A novel approach for multimicrophone speech dereverberation is presented. The method is based on the construction of the null subspace of the data matrix in the presence of colored noise, using the generalized singular-value decomposition (GSVD) technique, or the generalized eigenvalue decomposition (GEVD) of the respective correlation matrices. The special Silvester structure of the filtering matrix, related to this subspace, is exploited for deriving a total least squares (TLS) estimate for the acoustical transfer functions (ATFs). Other less robust but computationally more efficient methods are derived based on the same structure and on the QR decomposition (QRD). A preliminary study of the incorporation of the subspace method into a subband framework proves to be efficient, although some problems remain open. Speech reconstruction is achieved by virtue of the matched filter beamformer (MFBF). An experimental study supports the potential of the proposed methods

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Section: Subband Methodsmentioning

confidence: 99%

“…Now, (17) will not be accurate anymore. First, the null subspace matrix Ᏻ should be determined in a slightly different manner than suggested in (8).…”

Section: Two Microphone Noisy Casementioning

confidence: 99%

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Subspace Methods for Multimicrophone Speech Dereverberation

Gannot

Moonen

2003

EURASIP J. Adv. Signal Process.

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“…The total processing delay of the subband GSVD based algorithm consists of the delay A of the filterbank and the de- the delay of the GSVD is negligible compared to the delay A of the filterbank. In order to achieve a large stopband attenuation with reasonable L,, so-called "nearly PR" filter banks [8] are used. Note that the perfect reconstruction property would be lost anyway when a filtering operation is performed on the subband signals.…”

Section: / Tmentioning

confidence: 99%

A multi‐channel subband generalized singular value decomposition approach to speech enhancement

Spriet

Moonen

Wouters

2002

Trans Emerging Tel Tech

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“…From(7) it follows that, assuming the FB has a delay of M samples, PR can be accomplished by satisfying the following condi…”

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confidence: 99%

Design of oversampled DFT modulated filter banks optimized for acoustic echo cancellation

Qin

Chen

et al. 2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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This paper describes a method for designing oversampled DFT filter banks (FB) optimized for subband acoustic echo cancellation (AEC). For this application, the design requirements typically are good echo cancellation quality, low delay, small reconstruction error, and low computation complexity. Our method explicitly includes a model for echo return loss enhancement (ERLE) as part of the optimization criteria. Convergence of the high-dimensional, nonlinear optimization problem is facilitated by decorrelating the prototype filter impulse response via a discreet cosine transform (DCT), discarding many insignificant coefficients and thus reducing the dimensionality of the search. The experimental results demonstrate the effectiveness of our design and the effects on the performance of AEC, with ELRE improvements on the order of 3 dB or better. The method is flexible and could also be extended to other application domains.Index Terms -oversampled filter banks, modulated filter banks, acoustic echo cancellation, adaptive filters.

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DFT modulated filter bank design for oversampled subband systems

Cited by 35 publications

References 7 publications

Subspace Methods for Multimicrophone Speech Dereverberation

Subspace Methods for Multimicrophone Speech Dereverberation

A multi‐channel subband generalized singular value decomposition approach to speech enhancement

Design of oversampled DFT modulated filter banks optimized for acoustic echo cancellation

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