Non-Stationary Signal Analysis Using Time Frequency Transform

  • M. Kasi Subrahmanyam
  • Birendra Biswal
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 33)


In this paper, visual detection and classification of the non-stationary power signals are demonstrated by well-known transform called generalized synchrosqueezing transform.The wavelet based time frequency representation gives poor quality and understandability, hence the proposed synchrosqueezing transform is an effective method to get better quality and readability of the wavelet-based TFR by summarizing along the frequency axis. Different feature vectors have been extracted from the frequency contour of the generalized synchrosqueezing transform and these feature vectors applied as input to the Reformulated Fuzzy C-Means algorithm for automatic classification.


Continuous wavelet transform (CWT) Generalized synchrosqueezing transform (GST) Reformulated fuzzy C-Means algorithm 


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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of ECEGMR Institute of TechnologyRazamIndia

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