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2012•World Automation CongressRequires access

The study of the second generation of wavelet transform

Yu Guang, Zhao Jun

Open publisher page 2 citations

Abstract

Recently, the second generation wavelet which is lifting scheme of the first generation wavelet has attached much attention, because it keeps the good characteristics of the first generation wavelet transform and gets over the limitation of the first generate wavelet transform. This paper expounds of the lifting scheme and the excellent characteristics of the second generation wavelet transform, and makes comparison between the first generation wavelet ransform(DWT) and the second generation wavelet transform(LWT).

About this research paper

What this paper is about

Recently, the second generation wavelet which is lifting scheme of the first generation wavelet has attached much attention, because it keeps the good characteristics of the first generation wavelet transform and gets over the limitation of the first generate wavelet transform. This paper expounds of the lifting scheme and the excellent characteristics of the second generation wavelet transform, and makes comparison between the first generation wavelet ransform(DWT) and the second generation wavelet transform(LWT).

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Recently, the second generation wavelet which is lifting scheme of the first generation wavelet has attached much attention, because it keeps the good characteristics of the first generation wavelet transform and gets over the limitation of the first generate wavelet transform. This paper expounds of the lifting scheme and the excellent characteristics of the second generation wavelet transform, and makes comparison between the first generation wavelet ransform(DWT) and the second generation wavelet transform(LWT).

Key concepts: Lifting scheme, Second-generation wavelet transform, Discrete wavelet transform, Wavelet transform, Stationary wavelet transform, Wavelet, Wavelet packet decomposition, Harmonic wavelet transform

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