NDLI: Anytime overcomplete signal coding and reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Varkonyi-Koczy, A.R.
Copyright Year	2009
Description	Author affiliation: Institute of Mechatronics and Vehicle Engineering, Budapest Tech (Varkonyi-Koczy, A.R.)
Abstract	The never unseen information explosion in data transmission and communication called for new methods in signal coding and reconstruction. To minimize the channel capacity needed for the transmission urged researchers to find techniques which are flexible and can adapt to the available space and time. Anytime techniques are good candidates for such purposes. If the signal/data to be transmitted can be characterized as sequence of stationary intervals overcomplete signal representations can be applied. These techniques can be operated in an anytime manner as well, i.e. are excellent tools for handling the capacity problems. This paper introduces the concept of anytime recursive overcomplete signal representations using different recursive signal processing algorithms. The novelty of the approach is that an on-going set of signal transformations together with appropriate (e.g., L1 norm) minimization procedures can provide optimal and flexible (anytime) on-going representations, on-going signal segmentations into stationary intervals, and on-going feature extractions for immediate utilization in data transmission, communication, diagnostics, or other applications. The proposed technique may be advantageous in case of processing non-stationary signals when complete signal representations can be used only with serious limitations because of their relative weakness in adaptive matching of signal structures.
Starting Page	93
Ending Page	98
File Size	330666
Page Count	6
File Format	PDF
ISBN	9781424450572
DOI	10.1109/WISP.2009.5286539
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-26
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mechatronics Compaction Signal representations Automotive engineering Degradation transformed domain signal processing Intelligent vehicles Signal processing non-stationary signals Feature extraction anytime systems Data communication overcomplete signal representation Intelligent systems
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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