Asymptotic bias and variance of conventional bispectrum estimates for 2-D signals

DOI10.1007/s11045-004-4738-zzbMath1112.94004OpenAlexW1967130174MaRDI QIDQ1774500

Jean-Marc Le Caillec, René Garello

Publication date: 17 May 2005

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-004-4738-z

zbMATH Keywords

variance estimates2D symbolsbispectrum estimates

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Research exposition (monographs, survey articles) pertaining to information and communication theory (94-02)

Related Items (1)

An Isserlis' theorem for mixed Gaussian variables: Application to the auto-bispectral density

Cites Work

• Unnamed Item
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• On a Method of Calculation of Semi-Invariants
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• TESTING FOR GAUSSIANITY AND LINEARITY OF A STATIONARY TIME SERIES
• Blind equalization of nonminimum phase channels: higher order cumulant based algorithm
• Polyspectrum modeling using linear or quadratic filters
• Minimum bias windows for bispectral estimation
• A digital method of modeling quadratically nonlinear systems with a general random input
• Estimation of the Bispectrum
• Asymptotic Normality of Bispectral Estimates
• An Introduction to Polyspectra

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