### Abstract

An adaptive 2-D digital filter is presented in which the filter is determined by a 1-D FIR (finite-impulse-response) prototype filter, and hence the computational complexity of the coefficient-update algorithm has an order of complexity that is similar to a 1-D adaptive filter. The convergence rate of the proposed structure is much faster than that of a direct-form 2-D LMS (least-mean-square) filter. Results of the hardware realization of the filter are presented that show its learning curve to be considerably less noisy than that of the 2-D direct-form LMS filter.

Original language | English (US) |
---|---|

Title of host publication | Proceedings - IEEE International Symposium on Circuits and Systems |

Publisher | Publ by IEEE |

Pages | 2655-2658 |

Number of pages | 4 |

ISBN (Print) | 9517212410 |

State | Published - Dec 1 1988 |

### Publication series

Name | Proceedings - IEEE International Symposium on Circuits and Systems |
---|---|

Volume | 3 |

ISSN (Print) | 0271-4310 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Electrical and Electronic Engineering

### Cite this

*Proceedings - IEEE International Symposium on Circuits and Systems*(pp. 2655-2658). (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 3). Publ by IEEE.

}

*Proceedings - IEEE International Symposium on Circuits and Systems.*Proceedings - IEEE International Symposium on Circuits and Systems, vol. 3, Publ by IEEE, pp. 2655-2658.

**Constrained two-dimensional adaptive digital filter with reduced computational complexity.** / Jenkins, William Kenneth; Faust, R. P.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Constrained two-dimensional adaptive digital filter with reduced computational complexity

AU - Jenkins, William Kenneth

AU - Faust, R. P.

PY - 1988/12/1

Y1 - 1988/12/1

N2 - An adaptive 2-D digital filter is presented in which the filter is determined by a 1-D FIR (finite-impulse-response) prototype filter, and hence the computational complexity of the coefficient-update algorithm has an order of complexity that is similar to a 1-D adaptive filter. The convergence rate of the proposed structure is much faster than that of a direct-form 2-D LMS (least-mean-square) filter. Results of the hardware realization of the filter are presented that show its learning curve to be considerably less noisy than that of the 2-D direct-form LMS filter.

AB - An adaptive 2-D digital filter is presented in which the filter is determined by a 1-D FIR (finite-impulse-response) prototype filter, and hence the computational complexity of the coefficient-update algorithm has an order of complexity that is similar to a 1-D adaptive filter. The convergence rate of the proposed structure is much faster than that of a direct-form 2-D LMS (least-mean-square) filter. Results of the hardware realization of the filter are presented that show its learning curve to be considerably less noisy than that of the 2-D direct-form LMS filter.

UR - http://www.scopus.com/inward/record.url?scp=0024123650&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024123650&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0024123650

SN - 9517212410

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - 2655

EP - 2658

BT - Proceedings - IEEE International Symposium on Circuits and Systems

PB - Publ by IEEE

ER -