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Classification of egg signals into seizure and non- seizure category using hilbert vibration dcomposition. :dissertation Report

By: Sharma, Anubhav (2013pec5185)Contributor(s): Sharma, Kamalesh Kumar [Supvr.]Material type: Text

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TextPublication details: Jaipur: Deptt. of Electronics and Communication Engineering.MNIT, 2015. Description: 34pSubject(s): Electronics and Communication Engineering | EEG signalsDDC classification: SHA

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Item type	Current library	Call number	Status	Date due	Barcode
Dissertations	Malaviya National Institute of Technology Reference	621.38 SHA (Browse shelf(Opens below))	Available		PEC188

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Previous	621.38 SHA Image Fusion Based on Image Decomposition Using Self Fractional Fourier Functions	621.38 SHA DESIGN AND ANALYSIS OF HYBRID SQUARE LATTICE PCF WITH ELLIPTICAL AIR HOLES	621.38 SHA ADAPTIVE SYMBOL MAPPING FOR BIT INTERLEAVED TURBO CODED MODULATION	621.38 SHA Classification of egg signals into seizure and non- seizure category using hilbert vibration dcomposition.	621.38 SHA New design of borosilicate photonic crystal fiber for flattened dispersion	621.38 SHA Raman amplification in soi based slow light waveguides	621.38 SHA Ciruit modeling of memristor and integration with cmos	Next

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