Signal quantitative analysis using customizable perfect-translation-invariant complex wavelet functions

Author:

Toda Hiroshi1,Zhang Zhong1

Affiliation:

1. Department of Production System Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka Tenpaku-cho, Toyohashi 441-8580, Japan

Abstract

In this paper, we introduce several methods of signal quantitative analysis using the perfect-translation-invariant complex wavelet functions (PTI complex wavelet functions), which are used in our proposed perfect-translation-invariant complex discrete wavelet transforms (PTI CDWTs) and can be designed by customization. First, using PTI complex wavelet functions, we define the continuous wavelet coefficient (CWC). Next, using orthonormal wavelet functions in the classical Hardy space, we analyze the CWC, and show that, using a CWC, we can measure the energy of a customizable frequency band, and additionally, using numbers of CWCs, we can measure the energy of the whole frequency band. Next, we introduce the fast calculation method of CWCs and show the applicability of the PTI CDWTs to digital signals. Based on them, we introduce some examples of signal quantitative analysis, including the methods to obtain instantaneous amplitude, instantaneous phase and instantaneous frequency. Additionally, we introduce the energy measurement of the whole frequency band using the PTI DT-CDWT, which is one of our proposed PTI CDWTs.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Information Systems,Signal Processing

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tight Wavelet Frame Using Complex wavelet Designed in Free Shape on Frequency Domain;2019 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR);2019-07

2. Orthonormal basis of wavelets with customizable frequency bands;International Journal of Wavelets, Multiresolution and Information Processing;2016-11

3. Orthonormal wavelet basis with arbitrary real dilation factor;International Journal of Wavelets, Multiresolution and Information Processing;2016-05

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