Detecting the number of signals for an undamped exponential model using cross-validation approach

DOI10.1016/S0165-1684(99)00149-8zbMath0939.94024WikidataQ126528155 ScholiaQ126528155MaRDI QIDQ1978292

Amit Mitra, Debasis Kundu

Publication date: 4 June 2000

Published in: Signal Processing (Search for Journal in Brave)

zbMATH Keywords

consistent estimatespenalty functioninformation theoretic criteriaexponential signals

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13)

Related Items (5)

A NOTE ON ESTIMATING THE NUMBER OF SUPERIMPOSED EXPONENTIAL SIGNALS BY THE CROSS-VALIDATION APPROACH ⋮ M-estimator-based robust estimation of the number of components of a superimposed sinusoidal signal model ⋮ Frequency estimation of undamped exponential signals using genetic algorithms ⋮ Statistical Analysis of Non Linear Least Squares Estimation for Harmonic Signals in Multiplicative and Additive Noise ⋮ An efficient algorithm for estimating the parameters of superimposed exponential signals

This page was built for publication: Detecting the number of signals for an undamped exponential model using cross-validation approach