Signature of complexity in time–frequency domain

Journal Article (Journal Article)

We propose a time–frequency based complexity to measure disorder in the long term dynamics of a signal. The disorder is characterized by defining an wavelet spectrogram space in a multiscale coordinate system. The multiscale coordinate system is formed with Wavelet coefficient of the signal. Further, an Weighted entropy measure is implemented to quantify the aforesaid disorder. Numerical results support the proposed method. The proposed entropy is successfully applied to distinguish the ECG signals of normal healthy person and congestive heart failure patients.

Full Text

Duke Authors

Cited Authors

  • Yan, B; Palit, SK; Mukherjee, S; Banerjee, S

Published Date

  • December 1, 2019

Published In

Volume / Issue

  • 535 /

International Standard Serial Number (ISSN)

  • 0378-4371

Digital Object Identifier (DOI)

  • 10.1016/j.physa.2019.122433

Citation Source

  • Scopus