### Abstract

Presented in this paper are decorrelating transformations (referred to as DECOR transformations) to reduce the power dissipation in adaptive filters. The coefficients generated by the weight update block in an adaptive filter are passed through a decorrelating block such that fewer bits are required to represent the coefficients. Thus, the size of the arithmetic units in the filter (F-block) is reduced thereby reducing the power dissipation. The DECOR transform is well suited for narrow-band filters because there is significant correlation between adjacent coefficients. In addition, the effectiveness of DECOR transforms increases with increase in the order of the filter and decrease in coefficient precision. Simulation results indicate reduction in power dissipation in the F-block ranging from 12% to 38% for filter bandwidths ranging from 0.15 f_{s} to 0.025 f_{s} (where f_{s} is the sample rate).

Original language | English (US) |
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Pages | 250-255 |

Number of pages | 6 |

State | Published - Jan 1 1998 |

Event | Proceedings of the 1998 International Symposium on Low Power Electronics and Design - Monterey, CA, USA Duration: Aug 10 1998 → Aug 12 1998 |

### Other

Other | Proceedings of the 1998 International Symposium on Low Power Electronics and Design |
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City | Monterey, CA, USA |

Period | 8/10/98 → 8/12/98 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Decorrelating (DECOR) transformations for low-power adaptive filters*. 250-255. Paper presented at Proceedings of the 1998 International Symposium on Low Power Electronics and Design, Monterey, CA, USA, .

**Decorrelating (DECOR) transformations for low-power adaptive filters.** / Ramprasad, Sumant; Shanbhag, Naresh R.; Hajj, Ibrahim N.

Research output: Contribution to conference › Paper

}

TY - CONF

T1 - Decorrelating (DECOR) transformations for low-power adaptive filters

AU - Ramprasad, Sumant

AU - Shanbhag, Naresh R.

AU - Hajj, Ibrahim N.

PY - 1998/1/1

Y1 - 1998/1/1

N2 - Presented in this paper are decorrelating transformations (referred to as DECOR transformations) to reduce the power dissipation in adaptive filters. The coefficients generated by the weight update block in an adaptive filter are passed through a decorrelating block such that fewer bits are required to represent the coefficients. Thus, the size of the arithmetic units in the filter (F-block) is reduced thereby reducing the power dissipation. The DECOR transform is well suited for narrow-band filters because there is significant correlation between adjacent coefficients. In addition, the effectiveness of DECOR transforms increases with increase in the order of the filter and decrease in coefficient precision. Simulation results indicate reduction in power dissipation in the F-block ranging from 12% to 38% for filter bandwidths ranging from 0.15 fs to 0.025 fs (where fs is the sample rate).

AB - Presented in this paper are decorrelating transformations (referred to as DECOR transformations) to reduce the power dissipation in adaptive filters. The coefficients generated by the weight update block in an adaptive filter are passed through a decorrelating block such that fewer bits are required to represent the coefficients. Thus, the size of the arithmetic units in the filter (F-block) is reduced thereby reducing the power dissipation. The DECOR transform is well suited for narrow-band filters because there is significant correlation between adjacent coefficients. In addition, the effectiveness of DECOR transforms increases with increase in the order of the filter and decrease in coefficient precision. Simulation results indicate reduction in power dissipation in the F-block ranging from 12% to 38% for filter bandwidths ranging from 0.15 fs to 0.025 fs (where fs is the sample rate).

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M3 - Paper

AN - SCOPUS:0031631680

SP - 250

EP - 255

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