Title | ||
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Fourth-order cumulant-based algorithms for non-minimum phase MA system identification |
Abstract | ||
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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 |
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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. Ruiz | 1 | 10 | 3.76 |
Antolino Gallego | 2 | 21 | 5.12 |
M. C. Carrión | 3 | 21 | 4.86 |