Title
Fourth-order cumulant-based algorithms for non-minimum phase MA system identification
Abstract
The purpose of this communication is the formulation of three new linear algorithms for blind non-minimum phase MA system identification. These methods have been derived starting from new equations involving system coefficients and q-slices of the k - th order cumulant sequence of the ouput MA system. In particular, these new algorithms use only fourth-order cumulants, and thus, are specially useful when the driving system noise has symmetric probability density function and a possible additive Gaussian noisy process contaminates the system output.
Year
Venue
Keywords
1998
EUSIPCO
higher order statistics,identification,probability,additive gaussian noisy process,fourth-order cumulant-based algorithm,k-th order cumulant sequence,nonminimum phase ma system identification,symmetric probability density function,colored noise,signal to noise ratio,mathematical model
Field
DocType
ISBN
Colors of noise,Higher-order statistics,Signal-to-noise ratio,Algorithm,Gaussian,System identification,Gaussian noise,Probability density function,Minimum phase,Mathematics
Conference
978-960-7620-06-4
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
D. P. Ruiz1103.76
Antolino Gallego2215.12
M. C. Carrión3214.86