Header menu link for other important links
X
Signal Representation Using Ramanujan Subspaces Utilizing A Prior Signal Information
Published in Institute of Electrical and Electronics Engineers Inc.
2020
Abstract
In signal processing applications the information about the signal such as frequency (or) period is known a prior for most of the practical signals like ECG, EEG, speech, etc. Inspired by this, in this paper, we propose a new signal representation to estimate the period and frequency information of a given signal with low computational complexity. We achieve this by representing a finite-length discrete-time signal as a linear combination of signals belongs to Ramanujan subspaces. Further, we evaluate the performance of the proposed representation with a simulated example and also by addressing the problem of reducing Power Line Interference (PLI) in an ECG signal. Finally, for a given integer-valued signal, we show that the computational complexity of the proposed transform is quite low in comparison with the existing transforms, and it is quite comparable for a given real (or) complex-valued signal. © 2020 IEEE.
CONTINUE READING
Figures & Tables (5)
  • Figure-0
    Fig. 1. Proposed mixed basis (RSs ∪ CCPSs) transform ... Expand
  • Figure-1
    Fig. 2. (a)-(c) Inverse of RPT, mixed basis (RSs ∪ CEs), ... Expand
  • Figure-2
    Fig. 4. (a)-(b). PLI contaminated ECG signal ... Expand
  • Figure-3
    Fig. 3. (a)-(c). Transform coefficients of x(n) given in (12) ... Expand
  • Figure-4
    TABLE I COMPARISON OF COMPUTATIONAL COMPLEXITY BETWEEN ... Expand
References (13)
Publications that are referenced by this paper.
Showing 1-5 of 13 results
About the journal
Published in Institute of Electrical and Electronics Engineers Inc.
Open Access
no
Impact factor
N/A