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- Title
Convolution Theorem with Its Derivatives and Multiresolution Analysis for Fractional S-Transform.
- Authors
Ranjan, Rajeev; Singh, A. K.; Jindal, Neeru
- Abstract
Fractional S-transform (FrST) is a time–frequency representation of signals with frequency-dependent resolution. FrST is also an advantageous technique for non-stationary signal processing applications. Till now, only linearity, scaling, time reversal, time marginal condition, and inverse FrST properties are documented. In this paper, some remaining properties of FrST are proposed to establish it as a complete transform technique. The proposed properties are convolution theorem, correlation theorem, and Parseval's theorem. To expand the applicability of FrST as a mathematical transform tool, the multiresolution analysis concept is also documented. The multiresolution analysis has shown significant performance to develop the orthogonal kernel for FrST. Finally, the applications of proposed convolution theorem are demonstrated on multiplicative filtering for electrocardiogram signal and linear frequency-modulated signal under AWGN channel.
- Subjects
MATHEMATICAL convolutions; TIME-frequency analysis; ADDITIVE white Gaussian noise channels; TIME reversal; HILBERT-Huang transform; SIGNAL processing; SIGNAL filtering
- Publication
Circuits, Systems & Signal Processing, 2019, Vol 38, Issue 11, p5212
- ISSN
0278-081X
- Publication type
Article
- DOI
10.1007/s00034-019-01118-w