Frequency-Domain Implementation of Time-Varying FIR Filters
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E. Vickers, "Frequency-Domain Implementation of Time-Varying FIR Filters," Paper 8784, (2012 October.). doi:
E. Vickers, "Frequency-Domain Implementation of Time-Varying FIR Filters," Paper 8784, (2012 October.). doi:
Abstract: Finite impulse response filters can be implemented efficiently by means of fast convolution in the frequency domain. However, in applications such as speech enhancement or channel upmix, where the filter is a time-varying function of the input signal, standard approaches can suffer from artifacts and distortion due to circular convolution and the resulting time-domain aliasing. Existing solutions can be computationally prohibitive. This paper compares a number of previous algorithms and presents an alternate method based on the equivalence between frequency-domain convolution and time domain windowing. Additional computational efficiency can be attained by careful choice of the analysis window.
@article{vickers2012frequency-domain,
author={vickers, earl},
journal={journal of the audio engineering society},
title={frequency-domain implementation of time-varying fir filters},
year={2012},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{vickers2012frequency-domain,
author={vickers, earl},
journal={journal of the audio engineering society},
title={frequency-domain implementation of time-varying fir filters},
year={2012},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={finite impulse response filters can be implemented efficiently by means of fast convolution in the frequency domain. however, in applications such as speech enhancement or channel upmix, where the filter is a time-varying function of the input signal, standard approaches can suffer from artifacts and distortion due to circular convolution and the resulting time-domain aliasing. existing solutions can be computationally prohibitive. this paper compares a number of previous algorithms and presents an alternate method based on the equivalence between frequency-domain convolution and time domain windowing. additional computational efficiency can be attained by careful choice of the analysis window.},}
TY - paper
TI - Frequency-Domain Implementation of Time-Varying FIR Filters
SP -
EP -
AU - Vickers, Earl
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2012
TY - paper
TI - Frequency-Domain Implementation of Time-Varying FIR Filters
SP -
EP -
AU - Vickers, Earl
PY - 2012
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2012
AB - Finite impulse response filters can be implemented efficiently by means of fast convolution in the frequency domain. However, in applications such as speech enhancement or channel upmix, where the filter is a time-varying function of the input signal, standard approaches can suffer from artifacts and distortion due to circular convolution and the resulting time-domain aliasing. Existing solutions can be computationally prohibitive. This paper compares a number of previous algorithms and presents an alternate method based on the equivalence between frequency-domain convolution and time domain windowing. Additional computational efficiency can be attained by careful choice of the analysis window.
Finite impulse response filters can be implemented efficiently by means of fast convolution in the frequency domain. However, in applications such as speech enhancement or channel upmix, where the filter is a time-varying function of the input signal, standard approaches can suffer from artifacts and distortion due to circular convolution and the resulting time-domain aliasing. Existing solutions can be computationally prohibitive. This paper compares a number of previous algorithms and presents an alternate method based on the equivalence between frequency-domain convolution and time domain windowing. Additional computational efficiency can be attained by careful choice of the analysis window.
Author:
Vickers, Earl
Affiliation:
STMicroelectronics, Inc., Santa Clara, CA, USA
AES Convention:
133 (October 2012)
Paper Number:
8784
Publication Date:
October 25, 2012Import into BibTeX
Subject:
Signal Processing Fundamentals
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=16526