Time‐Frequency Approach for Stochastic Signal Detection

Ghosh, Ripul and Akula, Aparna and Kumar , Satish and Sardana, H.K. (2011) Time‐Frequency Approach for Stochastic Signal Detection. In: OPTICS: PHENOMENA, MATERIALS, DEVICES, AND CHARACTERIZATION: OPTICS 2011: International Conference on Light, 23-25 May, 2011.

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The detection of events in a stochastic signal has been a subject of great interest. One of the oldest signal processing technique, Fourier Transform of a signal contains information regarding frequency content, but it cannot resolve the exact onset of changes in the frequency, all temporal information is contained in the phase of the transform. On the other hand, Spectrogram is better able to resolve temporal evolution of frequency content, but has a trade‐off in time resolution versus frequency resolution in accordance with the uncertainty principle. Therefore, time‐frequency representations are considered for energetic characterisation of the non‐stationary signals. Wigner Ville Distribution (WVD) is the most prominent quadratic time‐frequency signal representation and used for analysing frequency variations in signals.WVD allows for instantaneous frequency estimation at each data point, for a typical temporal resolution of fractions of a second. This paper through simulations describes the way time frequency models are applied for the detection of event in a stochastic signal.

Item Type: Conference or Workshop Item (Paper)
Subjects: CSIO > Applied Physics
CSIO > Computational Instrumentation
Divisions: Computational Instrumentation
Depositing User: Mr Ripul Ghosh
Date Deposited: 29 May 2012 09:51
Last Modified: 29 May 2012 09:51
URI: http://csioir.csio.res.in/id/eprint/303

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