Two drawbacks of pyramidal wavelet transforms for finite-length sequences are the lack of conservation of the support and the boundary effect. In this letter, the structure of cyclic wavelet transforms (CWT) is used to permute the input and output data to map them into a linear array. Systolic realization of cyclic wavelet packet transforms (CWPT) is also presented to adequately deal with finite-length sequences which have dominant information on high or median frequency channels. The VLSI architectures designed in this letter are very attractive because adaptive processing can be achieved by just programming the filter coefficients.
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J. W. WANG, C. H. CHEN, "Systolic Realization of Cyclic Wavelet Transforms and Cyclic Wavelet Packet Transforms" in IEICE TRANSACTIONS on Fundamentals,
vol. E79-A, no. 8, pp. 1240-1242, August 1996, doi: .
Abstract: Two drawbacks of pyramidal wavelet transforms for finite-length sequences are the lack of conservation of the support and the boundary effect. In this letter, the structure of cyclic wavelet transforms (CWT) is used to permute the input and output data to map them into a linear array. Systolic realization of cyclic wavelet packet transforms (CWPT) is also presented to adequately deal with finite-length sequences which have dominant information on high or median frequency channels. The VLSI architectures designed in this letter are very attractive because adaptive processing can be achieved by just programming the filter coefficients.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e79-a_8_1240/_p
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@ARTICLE{e79-a_8_1240,
author={J. W. WANG, C. H. CHEN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Systolic Realization of Cyclic Wavelet Transforms and Cyclic Wavelet Packet Transforms},
year={1996},
volume={E79-A},
number={8},
pages={1240-1242},
abstract={Two drawbacks of pyramidal wavelet transforms for finite-length sequences are the lack of conservation of the support and the boundary effect. In this letter, the structure of cyclic wavelet transforms (CWT) is used to permute the input and output data to map them into a linear array. Systolic realization of cyclic wavelet packet transforms (CWPT) is also presented to adequately deal with finite-length sequences which have dominant information on high or median frequency channels. The VLSI architectures designed in this letter are very attractive because adaptive processing can be achieved by just programming the filter coefficients.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Systolic Realization of Cyclic Wavelet Transforms and Cyclic Wavelet Packet Transforms
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1240
EP - 1242
AU - J. W. WANG
AU - C. H. CHEN
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E79-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 1996
AB - Two drawbacks of pyramidal wavelet transforms for finite-length sequences are the lack of conservation of the support and the boundary effect. In this letter, the structure of cyclic wavelet transforms (CWT) is used to permute the input and output data to map them into a linear array. Systolic realization of cyclic wavelet packet transforms (CWPT) is also presented to adequately deal with finite-length sequences which have dominant information on high or median frequency channels. The VLSI architectures designed in this letter are very attractive because adaptive processing can be achieved by just programming the filter coefficients.
ER -