### Abstract

Presented in this paper are algorithm transformation techniques for adaptive signal processing, which allow dynamic alteration of algorithm properties in response to signal non-stationarities. These transformations, referred to as dynamic algorithm transformations (DAT), jointly optimize algorithm and circuit performance measures such as signal-to-noise ratios (SNR) and power dissipation (P_{D}), respectively. A DAT-based signal processing system is composed of a signal monitoring algorithm (SMA) block and a signal processing algorithm (SPA) block. First, computation of the theoretical power-optimum SPA configuration incorporating signal transition activity is presented. Next, practical SMA schemes are developed, which achieved power reduction by a combination of powering down the filter taps and modifying the coefficients. The DAT-based adaptive filter is then employed as a near-end cross-talk (NEXT) canceller in 155.52 Mb/s ATM-LAN over category 3 wiring. Simulation results indicate that the power savings for the NEXT canceller range from 21%-62% as the cable length varies from 100 meters to 70 meters.

Original language | English (US) |
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Pages | 161-166 |

Number of pages | 6 |

State | Published - Jan 1 1997 |

Event | Proceedings of the 1997 International Symposium on Low Power Electronics and Design - Monterey, CA, USA Duration: Aug 18 1997 → Aug 20 1997 |

### Other

Other | Proceedings of the 1997 International Symposium on Low Power Electronics and Design |
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City | Monterey, CA, USA |

Period | 8/18/97 → 8/20/97 |

### ASJC Scopus subject areas

- Engineering(all)

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## Cite this

*Dynamic algorithm transformations (DAT) for low-power adaptive signal processing*. 161-166. Paper presented at Proceedings of the 1997 International Symposium on Low Power Electronics and Design, Monterey, CA, USA, .