Optimizing correlation algorithms for hardware-based transient classification

R. Timothy Edwards; Gert Cauwenberghs; Fernando J. Pineda

Optimizing correlation algorithms for hardware-based transient classification

R. Timothy Edwards, Gert Cauwenberghs, Fernando J. Pineda

Bloomberg School of Public Health

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The performance of dedicated VLSI neural processing hardware depends critically on the design of the implemented algorithms. We have previously proposed an algorithm for acoustic transient classification [1]. Having implemented and demonstrated this algorithm in a mixed-mode architecture, we now investigate variants on the algorithm, using time and frequency channel differencing, input and output normalization, and schemes to binarize and train the template values, with the goal of achieving optimal classification performance for the chosen hardware.

Original language	English (US)
Title of host publication	Advances in Neural Information Processing Systems 11 - Proceedings of the 1998 Conference, NIPS 1998
Publisher	Neural information processing systems foundation
Pages	678-684
Number of pages	7
ISBN (Print)	0262112450, 9780262112451
State	Published - Jan 1 1999
Event	12th Annual Conference on Neural Information Processing Systems, NIPS 1998 - Denver, CO, United States Duration: Nov 30 1998 → Dec 5 1998

Publication series

Name	Advances in Neural Information Processing Systems
ISSN (Print)	1049-5258

Other

Other	12th Annual Conference on Neural Information Processing Systems, NIPS 1998
Country/Territory	United States
City	Denver, CO
Period	11/30/98 → 12/5/98

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Signal Processing

Cite this

Optimizing correlation algorithms for hardware-based transient classification. / Edwards, R. Timothy; Cauwenberghs, Gert; Pineda, Fernando J.
Advances in Neural Information Processing Systems 11 - Proceedings of the 1998 Conference, NIPS 1998. Neural information processing systems foundation, 1999. p. 678-684 (Advances in Neural Information Processing Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Edwards, RT, Cauwenberghs, G & Pineda, FJ 1999, Optimizing correlation algorithms for hardware-based transient classification. in Advances in Neural Information Processing Systems 11 - Proceedings of the 1998 Conference, NIPS 1998. Advances in Neural Information Processing Systems, Neural information processing systems foundation, pp. 678-684, 12th Annual Conference on Neural Information Processing Systems, NIPS 1998, Denver, CO, United States, 11/30/98.

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Optimizing correlation algorithms for hardware-based transient classification

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