Design of Time-Varying Lifting Wavelet Filters (Special Section on Digital Signal Processing)

スポンサーリンク

概要

• 論文の詳細を見る

• Wavelet filters used in usual applications are not time-varying filters. In this paper, we present a novel method to design biorthogonal wavelet filters which are orthogonal to the input signals. We call newly designed filters time-varying lifting wavelet filters (TVLWF). Their feature is to vary the wavelet filters adapting to the input signal by tuning free parameters contained in the lifting scheme developed by Sweldens. These filters are almost compact support and perfect reconstruction. By using TVLWF, we demonstrate an application to data compression of electrocardiogram (ECG) which is one of the semi-periodic time-series signals and show that the time-varying system can be constructed easily and the proposed method is very useful for data compression.

• 社団法人電子情報通信学会の論文
• 1999-08-25

著者

• Niijima Koichi

  Department Of Informatics Kyushu University

• KUZUME Koichi

  Department of Information Engineering, Yuge National College of Technology

• Kuzume Koichi

  Department Of Information Engineering Yuge National College Of Technology

関連論文

• Design of Time-Varying Lifting Wavelet Filters (Special Section on Digital Signal Processing)
• Learning of Associative Memory Networks Based upon Cone-Like Domains of Attraction

スポンサーリンク