NDLI: Enhancement of sinusoids in colored noise and the whitening performance of exact least-squares predictors

Content Provider	IEEE Xplore Digital Library
Author	Nehorai, A. Morf, M.
Copyright Year	1981
Description	Author affiliation: Stanford University, Stanford, CA, USA (Nehorai, A.)
Abstract	The extraction of sinusoids in white noise, using least-squares predictors, has attracted a lot of attention in the past, mainly in the context of the adaptive line enhancer (ALE). However, very few results exist for the colored noise case, or for the whitening performance of the predictors. We use a matrix formulation to derive the optimal least-squares coefficients and frequency response of the ALE or the D-step predictor, for sinusoids (real or complex) in additive colored noise. Several cases are considered; in low-pass background noise the amplitude gain of the sinusoids becomes essentially a monotonically increasing function of their frequency, and a decreasing function for high-pass noise. For the whitening application, signal to noise ratio (SNR) bounds of the output are derived when the input is a white signal plus a sinusoidal interference. This performance is achievable using (possibly complex) exact least-squares recursions, such as our ladder form implementations.
Starting Page	275
Ending Page	278
File Size	126283
Page Count	4
File Format	PDF
DOI	10.1109/ICASSP.1981.1171357
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1981-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Colored noise Frequency response Additive noise White noise Line enhancers Background noise Signal to noise ratio Narrowband Wideband Delay estimation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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