ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Binaural Signal Processing Motivated Generalized Analytic Signal Construction and AM-FM Demodulation

Venkitaraman, Arun and Seelamantula, Chandra Sekhar (2014) Binaural Signal Processing Motivated Generalized Analytic Signal Construction and AM-FM Demodulation. In: IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 22 (6). pp. 1023-1036.

[img] PDF
ieee-acm_tra_aud_spe_lan_pro_22-6_1023_2014.pdf - Published Version
Restricted to Registered users only

Download (3MB) | Request a copy
Official URL: http://dx.doi.org/10.1109/TASLP.2014.2316376


Binaural hearing studies show that the auditory system uses the phase-difference information in the auditory stimuli for localization of a sound source. Motivated by this finding, we present a method for demodulation of amplitude-modulated-frequency-modulated (AM-FM) signals using a ignal and its arbitrary phase-shifted version. The demodulation is achieved using two allpass filters, whose impulse responses are related through the fractional Hilbert transform (FrHT). The allpass filters are obtained by cosine-modulation of a zero-phase flat-top prototype halfband lowpass filter. The outputs of the filters are combined to construct an analytic signal (AS) from which the AM and FM are estimated. We show that, under certain assumptions on the signal and the filter structures, the AM and FM can be obtained exactly. The AM-FM calculations are based on the quasi-eigenfunction approximation. We then extend the concept to the demodulation of multicomponent signals using uniform and non-uniform cosine-modulated filterbank (FB) structures consisting of flat bandpass filters, including the uniform cosine-modulated, equivalent rectangular bandwidth (ERB), and constant-Q filterbanks. We validate the theoretical calculations by considering application on synthesized AM-FM signals and compare the performance in presence of noise with three other multiband demodulation techniques, namely, the Teager-energy-based approach, the Gabor's AS approach, and the linear transduction filter approach. We also show demodulation results for real signals.

Item Type: Journal Article
Additional Information: Copyright for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Keywords: Binaural processing; cosine-modulated filter-bank; demodulation; equivalent rectangular bandwidth; fractional Hilbert transform; quasi-eigenfunction approximation
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 27 Jun 2014 05:30
Last Modified: 27 Jun 2014 05:30
URI: http://eprints.iisc.ac.in/id/eprint/49365

Actions (login required)

View Item View Item