Second-order Volterra filtering and its application to nonlinear system identification

  title={Second-order Volterra filtering and its application to nonlinear system identification},
  author={Taiho Koh and Edward J. Powers},
  journal={IEEE Trans. Acoustics, Speech, and Signal Processing},
Highly Cited
This paper has 321 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper


Publications citing this paper.
Showing 1-10 of 117 extracted citations

Methods for Identi cation of Volterra FilterModelsRobert

David Nowak, B. Do Van, VeenyAbstractA
View 6 Excerpts
Highly Influenced

Family of adaptive algorithms based on second order Volterra filters for nonlinear acoustic echo cancellation: A technical survey

2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI) • 2014
View 7 Excerpts
Method Support
Highly Influenced

Prediction of Vessel Traffic Accident Based on Chaotic Theory

2008 The 9th International Conference for Young Computer Scientists • 2008
View 3 Excerpts
Highly Influenced

A design method for parallel recursive least square adaptive Volterra filter

2005 IEEE International Symposium on Circuits and Systems • 2005
View 5 Excerpts
Highly Influenced

The summational projection algorithm for the adaptive Volterra filter

9th European Signal Processing Conference (EUSIPCO 1998) • 1998
View 5 Excerpts
Method Support
Highly Influenced

321 Citations

Citations per Year
Semantic Scholar estimates that this publication has 321 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 18 references

A discrete ARMA model for nonlinear system identification

E. J. Powers
IEEE Trans . Circuits Syst . • 1981

Measuring the Wiener kernels of a non - linear system using the fast Fourier transform algorithm

E. G. Butz
Znt . J . Contr . • 1981

An autoregressive moving average ( ARMA ) discrete nonlinear model

S. Y. Fakhouri
Proc . fEEE Int . Symp . Circuits Syst . • 1980

Sta - tionary and nonstationary characteristics of the LMS adaptive filter

J. M. McCool, M. G. Larimore, C. R. Johnson
Stochastic Models , Estimation and Control • 1979

The slow drift oscillations of a moored object in random seas

A.’J. Hermans
Ocean Eng . • 1979

Measurement of the Wiener kernels of a non - linear system by cross - correlation

Y. W. Lee, M. Schetzen
Znt . J . Contr . • 1973