Higher-order statistics-based input/output system identification and application to noise cancellation
type: Item
instance of: scholarly article
title: Higher-order statistics-based input/output system identification and application to noise cancellation
zbMATH Open document ID: 0738.93077
DOI: 10.1007/BF01194885
author: A. V. Dandawate
author: Georgios B. Giannakis
published in: Circuits, Systems, and Signal Processing
publication date: 1992-06-27T00:00:00Z
Mathematics Subject Classification ID: 93E12
zbMATH DE Number: 26824
zbMATH Keywords: linear identification algorithm
MaRDI profile type: Publication
cites work: IDENTIFIABILITY IN DYNAMIC ERRORS-IN-VARIABLES MODELS
cites work: The identification of polynomial systems by means of higher order spectra
cites work: Adaptive deconvolution and identification of nonminimum phase FIR systems based on cumulants
cites work: Identification of nonminimum phase systems using higher order statistics
cites work: Q3783791
cites work: Q4000104
cites work: A digital method of modeling quadratically nonlinear systems with a general random input
cites work: Deconvolution and estimation of transfer function phase and coefficients for nongaussian linear processes
cites work: Q4724470
cites work: Time delay estimation in unknown Gaussian spatially correlated noise
cites work: Current developments in time series modelling
description: scientific article; zbMATH DE number 26824