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A Novel Design of Dyadic db3 Orthogonal Wavelet Filter Bank for Feature Extraction
Circuits, Systems, and Signal Processing ( IF 2.3 ) Pub Date : 2021-04-24 , DOI: 10.1007/s00034-021-01723-8
Aswini K. Samantaray , Amol D. Rahulkar , Pranose J. Edavoor

The irrational coefficients of orthogonal wavelet filters require a large amount of hardware for their implementation. This results in huge memory requirement, increased power dissipation and reduction in speed of operation. This paper presents a new class of multiplier free db3 orthogonal wavelet filter bank with significantly reduced power dissipation, adders and shifters. In this paper, dyadic filter coefficients of db3 have been obtained by slightly altering double-shifting orthogonality property for perfect reconstruction. The proposed db3 wavelet filter improved time–frequency product, Sobolev regularity and frequency selectivity. Also, the VLSI architecture is suggested for the proposed db3 wavelet filter banks to analyse the hardware computational complexity. The performance of the proposed db3 wavelets achieved satisfactory performance for feature extraction in medical image retrieval and fingerprint recognition of infants and toddlers.



中文翻译:

一种用于特征提取的二进db3正交小波滤波器组的新设计

正交小波滤波器的无理系数需要大量的硬件来实现。这导致巨大的存储器需求、增加的功耗和降低的操作速度。本文介绍了一类新的无乘法器 db3 正交小波滤波器组,它具有显着降低的功耗、加法器和移位器。在本文中,db3 的二进滤波器系数已经通过稍微改变双移正交性来获得完美重建。建议的 db3 小波滤波器改进了时频积、Sobolev 规律性和频率选择性。此外,建议 db3 小波滤波器组使用 VLSI 架构来分析硬件计算复杂性。

更新日期:2021-04-24
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