NDLI: On Stability of Distance Measures for Event Sequences Induced by Level-Crossing Sampling

Content Provider	IEEE Xplore Digital Library
Author	Moser, B.A. Natschlager, T.
Copyright Year	1991
Abstract	While Shannon's paradigm of sampling is based on equidistant points in time, triggered by a clock, level-crossing sampling schemes are based on the evaluation of the input signal's amplitude. Three types of level-crossing concepts are considered: a) absolute level-crossings, b) absolute level-crossings with hysteretic quantization, that ignores repeated crossings, and c) thresholding changes. The latter is also referred to as send-on-delta. Such event-driven sampling principles are encountered in asynchronous event-based data acquisition of wireless sensor networks in order to reduce the amount of data transfer and energy consumption, in event-based imaging in order to realize high-dynamic range image acquisition or in biology in terms of neuronal spike trains. The paper addresses the similarity between the event sequences which encode the quantized signals resulting from such event-based sampling concepts. It is shown that such event-driven sampling principles induce instability effects when using dissimilarity measures which are state-of-the-art in this context. As an alternative metric, Hermann Weyl's discrepancy norm is introduced, by which such instability effects can be avoided.
Sponsorship	IEEE Signal Processing Society
Starting Page	1987
Ending Page	1999
Page Count	13
File Size	3654607
File Format	PDF
ISSN	1053587X
Volume Number	62
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Stability criteria Hysteresis Quantization (signal) Context Victor-Purpura distance Discrepancy norm event-based sampling event-based signal processing level-crossing send-on-delta sampling Van Rossum distance
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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