NDLI: A Zero-Crossing Rate Property of Power Complementary Analysis Filterbank Outputs

Content Provider	IEEE Xplore Digital Library
Author	Shenoy, R.R. Seelamantula, C.S.
Copyright Year	1994
Abstract	We establish zero-crossing rate (ZCR) relations between the input and the subbands of a maximally decimated M-channel power complementary analysis filterbank when the input is a stationary Gaussian process. The ZCR at lag l is defined as the number of sign changes between the samples of a sequence and its l-sample shifted version, normalized by the sequence length. We derive the relationship between the ZCR of the Gaussian process at lags that are integer multiples of M and the subband ZCRs. Based on this result, we propose a robust iterative autocorrelation estimator for a signal consisting of a sum of sinusoids of fixed amplitudes and uniformly distributed random phases. Simulation results show that the performance of the proposed estimator is better than the sample autocorrelation over the SNR range of - 6 to 15 dB. Validation on a segment of a trumpet signal showed similar performance gains.
Sponsorship	IEEE Signal Processing Society
Starting Page	2354
Ending Page	2358
Page Count	5
File Size	1080441
File Format	PDF
ISSN	10709908
Volume Number	22
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Gaussian processes Robustness Estimation Filter banks Image reconstruction Iris recognition zero-crossing rate Cosine-weighted centroid power complementary
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing Electrical and Electronic Engineering

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