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FPGA Implementation of HHT for Feature Extraction of Signals


Author(s):

Mahesh Baban Shinde , D. Y. Patil College of Engineering; Manish Sharma, D. Y. Patil College of Engineering

Keywords:

HHT, EMD, IMF, FPGA, Hardware Accelerator, Sifting

Abstract:

In the analysis of real time signals accuracy plays very important role in most of the biomedical and bioelectrical applications. All real signals have some nonlinearity and time dependency. But methods used for their analysis assumes that signal is either linear or stationary. Hilbert Huang Transform (HHT) is an experimental time-recurrence technique for nonlinear and nonstationary signal analysis. Real signals can be processed with no presumptions by using this technique. Performance of HHT system in terms of time is up to the mark as HHT calculation requires more time. It puts limitation on its applications for real time signal handling. To improve the time efficiency of system hardware accelerated HHT framework taking into account Field Programmable Gate Array (FPGA) is used. Hardware software co design method is used to enhance processing time. It has major applications in ECG, EEG signal analysis. The 2D transposition of the Hilbert-Huang Transform (HHT) is also proposed for considering momentary amplitudes and periods of nonlinear and nonstationary information.


Other Details:

Manuscript Id :IJSTEV3I1075
Published in :Volume : 3, Issue : 1
Publication Date: 01/08/2016
Page(s): 314-318
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