Decorrelating (DECOR) transformations for low-power digital filters

Sumant Ramprasad, Naresh R. Shanbhag, Ibrahim N. Hajj

Research output: Contribution to journalArticlepeer-review


Decorrelating transformations (referred to as DECOR transformations) to reduce the power dissipation in digital filters are presented in this paper. The transfer function and/or the input is decorrelated such that fewer bits are required to represent the coefficients and inputs. Thus, the size of the arithmetic units in the filter is reduced, thereby reducing the power dissipation. The DECOR transform is suited for narrow-band filters because there is significant correlation between adjacent coefficients. Simulations with fixed coefficient filters indicate reduction in transition activity, ranging from 6% to 52% for filter bandwidths ranging from 0.30π to 0.05π, respectively, (where π corresponds to half the sample rate). Simulations with adaptive filters indicate reduction in transition activity in the F-block, ranging from 12% to 38% for filter bandwidths ranging from 0.30π to 0.05π, respectively. The DECOR transforms result in greater energy savings and over a larger bandwidth than existing methods.

Original languageEnglish (US)
Pages (from-to)776-788
Number of pages13
JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Issue number6
StatePublished - Jun 1999
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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