Optimum Savitzky-Golay Filtering for Signal Estimation

Optimum Savitzky-Golay Filtering for Signal Estimation

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Motivated by the classic works of Charles M. Stein, we focus on developing risk-estimation frameworks for denoising problems in both one-and two-dimensions. We assume a standard additive noise model, and formulate the denoising problem as one of estimating the underlying clean signal from noisy meas...

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Bibliographic Details
Main Author: Krishnan, Sunder Ram
Other Authors: Seelamantula, Chandra Sekhar
Language:en_US
Published: 2018
Subjects:
Signal Processing
Kernel Regression
Stein's Unbiased Risk Estimator
Savitzky-Golay Filtering
Local Polynomial Regression
Speech Recognition
Nonparametric Regression
SURE Theory
Savitzky-Golay Filters
Stein’s Lemma
Optical Coherence Tomography
Modified James-Stein Estimator
MJS Estimator
Electrical Engineering
Online Access:http://hdl.handle.net/2005/3293
http://etd.ncsi.iisc.ernet.in/abstracts/4155/G25650-Abs.pdf

Internet

http://hdl.handle.net/2005/3293
http://etd.ncsi.iisc.ernet.in/abstracts/4155/G25650-Abs.pdf

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