Asymmetric Gaussian chirplet model and parameter estimation for generalized echo representation

DOI10.1016/J.JFRANKLIN.2013.09.028zbMath1293.93711OpenAlexW1990570260MaRDI QIDQ398471

Jafar Saniie, Ramazan Demirli

Publication date: 15 August 2014

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.09.028

zbMATH Keywords

parameter estimationGauss-Newton algorithmmaximum likelihood estimation (MLE)signal analysisGaussian chirplet model (GCM)

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Asymmetric Gaussian chirplet model and parameter estimation for generalized echo representation

Cites Work

• Asymmetric Gaussian chirplet model and parameter estimation for generalized echo representation
• Chirplet Approximation of Band-Limited, Real Signals Made Easy
• New Approaches for Chirplet Approximation
• A fast refinement for adaptive Gaussian chirplet decomposition

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