The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Penapis wavelet yang digunakan dalam aplikasi biasa bukanlah penapis yang mengubah masa. Dalam makalah ini, kami membentangkan kaedah baru untuk mereka bentuk penapis gelombang biorthogonal yang ortogonal kepada isyarat input. Kami memanggil penapis yang direka bentuk baharu sebagai penapis gelombang pengangkat (TVLWF) yang berubah-ubah masa. Ciri mereka adalah untuk mengubah penapis wavelet menyesuaikan diri dengan isyarat input dengan menala parameter bebas yang terkandung dalam skema pengangkatan yang dibangunkan oleh Sweldens. Penapis ini adalah sokongan yang hampir padat dan pembinaan semula yang sempurna. Dengan menggunakan TVLWF, kami menunjukkan aplikasi untuk pemampatan data elektrokardiogram (ECG) yang merupakan salah satu isyarat siri masa separa berkala dan menunjukkan bahawa sistem pembolehubah masa boleh dibina dengan mudah dan kaedah yang dicadangkan sangat berguna untuk pemampatan data. .
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Salinan
Koichi KUZUME, Koichi NIIJIMA, "Design of Time-Varying Lifting Wavelet Filters" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 8, pp. 1412-1419, August 1999, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_8_1412/_p
Salinan
@ARTICLE{e82-a_8_1412,
author={Koichi KUZUME, Koichi NIIJIMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Design of Time-Varying Lifting Wavelet Filters},
year={1999},
volume={E82-A},
number={8},
pages={1412-1419},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={August},}
Salinan
TY - JOUR
TI - Design of Time-Varying Lifting Wavelet Filters
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1412
EP - 1419
AU - Koichi KUZUME
AU - Koichi NIIJIMA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 1999
AB - 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.
ER -