NDLI: Wavelet-multifractal processing of signals

Content Provider	IEEE Xplore Digital Library
Author	Soemintapura, K. Langi, A.Z.R.
Copyright Year	1998
Description	Author affiliation: Lab. for Signals & Syst., IURC Microelectron., West Java, Indonesia (Soemintapura, K.)
Abstract	This research develops a new approach in processing multimedia signals (i.e., speech, audio, and images) using wavelets and multifractals. Processing multimedia signals is critical in many modern telecommunication and information systems. Nonstationary behaviours have been the most important characteristics of multimedia signals because they carry signal information. Unfortunately nonstationary parts are difficult to process effectively using traditional tools such as Fourier transforms. In contrast, wavelets and multifractality not only reveal that nonstationary parts are sufficient to represent natural images, but also can be used to reconstruct such signals. The general objectives of this research are to develop the wavelet and multifractal concepts into a new signal-processing framework, to obtain more effective and efficient signal representation. If the objectives can be achieved, the results of the proposed research can be a breakthrough in nonstationary signal processing, as fundamental as the well known Fourier approach in stationary signal processing.
Starting Page	65
Ending Page	68
File Size	398696
Page Count	4
File Format	PDF
ISBN	0780351460
DOI	10.1109/APCCAS.1998.743659
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-11-24
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing Feature extraction Fractals Signal analysis Laboratories Microelectronics Signal synthesis Character recognition Data mining Signal design
Content Type	Text
Resource Type	Article

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