A signal processing adaptive algorithm for nonstationary power signal parameter estimation

DOI10.1002/ACS.2287zbMath1273.93153OpenAlexW1940911536MaRDI QIDQ2857513

Shazia Hasan, P. K. Dash, Sudarsan Nanda

Publication date: 4 November 2013

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2287

zbMATH Keywords

Newton methodwhite noiselinear predictionGauss-Newton methodunconstrained optimization problemsinusoidsamplitude and phase estimationlearning parametersnonstationary environment

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Sampled-data control/observation systems (93C57)

Related Items (2)

A globally convergent frequency estimator of a sinusoidal signal with a time-varying amplitude ⋮ Finite time frequency estimation for multi-sinusoidal signals

Cites Work

• Tracking analysis of a generalized adaptive notch filter
• Linear prediction approach for efficient frequency estimation of multiple real sinusoids: algorithms and analyses

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