Efficient target-response interpolation for a graphic equalizer

Jose A. Belloch; Vesa Välimäki

doi:10.1109/ICASSP.2016.7471738

Efficient target-response interpolation for a graphic equalizer

Jose A. Belloch, Vesa Välimäki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

7 Citations (Scopus)

Abstract

A graphic equalizer is an adjustable filter in which the command gain of each frequency band is practically independent of the gains of other bands. Designing a graphic equalizer with a high precision requires evaluating a target response that interpolates the magnitude response at several frequency points between the command gains. Good accuracy has been previously achieved by using polynomial interpolation methods such as cubic Hermite or spline interpolation. However, these methods require large computational resources, which is a limitation in real-time applications. This paper proposes an efficient way of computing the target response without sacrificing the approximation accuracy. This new approach called Linear Interpolation with Constant Segments (LICS) reduces the computing time of the target response by 55% and has an intrinsic parallel structure. Performance of the LICS method is assessed on an ARM Cortex-A7 core, which is commonly used in embedded systems.

Original language	English
Title of host publication	IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Publisher	IEEE
Pages	564-568
Number of pages	5
Volume	2016-May
ISBN (Print)	9781479999880
DOIs	https://doi.org/10.1109/ICASSP.2016.7471738
Publication status	Published - 18 May 2016
MoE publication type	A4 Article in a conference publication
Event	IEEE International Conference on Acoustics, Speech, and Signal Processing - Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016 Conference number: 41 http://www.icassp2016.org/

Publication series

Name	Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISSN (Print)	1520-6149
ISSN (Electronic)	2379-190X

Conference

Conference	IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated title	ICASSP 2016
Country	China
City	Shanghai
Period	20/03/2016 → 25/03/2016
Internet address	http://www.icassp2016.org/

Keywords

Acoustic signal processing
audio systems
equalizers
interpolation
low power processors

Access to Document

10.1109/ICASSP.2016.7471738

Link to publication in Scopus

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Aalto Acoustics Lab
Ville Pulkki (Manager)
School of Electrical Engineering
Facility/equipment: Facility

Cite this

Belloch, J. A., & Välimäki, V. (2016). Efficient target-response interpolation for a graphic equalizer. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 (Vol. 2016-May, pp. 564-568). [7471738] (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing). IEEE. https://doi.org/10.1109/ICASSP.2016.7471738

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Belloch, JA & Välimäki, V 2016, Efficient target-response interpolation for a graphic equalizer. in IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016. vol. 2016-May, 7471738, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, pp. 564-568, IEEE International Conference on Acoustics, Speech, and Signal Processing, Shanghai, China, 20/03/2016. https://doi.org/10.1109/ICASSP.2016.7471738

Efficient target-response interpolation for a graphic equalizer. / Belloch, Jose A.; Välimäki, Vesa.

IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016. Vol. 2016-May IEEE, 2016. p. 564-568 7471738 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Välimäki, Vesa

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N2 - A graphic equalizer is an adjustable filter in which the command gain of each frequency band is practically independent of the gains of other bands. Designing a graphic equalizer with a high precision requires evaluating a target response that interpolates the magnitude response at several frequency points between the command gains. Good accuracy has been previously achieved by using polynomial interpolation methods such as cubic Hermite or spline interpolation. However, these methods require large computational resources, which is a limitation in real-time applications. This paper proposes an efficient way of computing the target response without sacrificing the approximation accuracy. This new approach called Linear Interpolation with Constant Segments (LICS) reduces the computing time of the target response by 55% and has an intrinsic parallel structure. Performance of the LICS method is assessed on an ARM Cortex-A7 core, which is commonly used in embedded systems.

AB - A graphic equalizer is an adjustable filter in which the command gain of each frequency band is practically independent of the gains of other bands. Designing a graphic equalizer with a high precision requires evaluating a target response that interpolates the magnitude response at several frequency points between the command gains. Good accuracy has been previously achieved by using polynomial interpolation methods such as cubic Hermite or spline interpolation. However, these methods require large computational resources, which is a limitation in real-time applications. This paper proposes an efficient way of computing the target response without sacrificing the approximation accuracy. This new approach called Linear Interpolation with Constant Segments (LICS) reduces the computing time of the target response by 55% and has an intrinsic parallel structure. Performance of the LICS method is assessed on an ARM Cortex-A7 core, which is commonly used in embedded systems.

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Efficient target-response interpolation for a graphic equalizer

Abstract

Publication series

Conference

Keywords

Access to Document

Aalto Acoustics Lab

Cite this