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Decorrelating (DECOR) transformations for low-power digital filters

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3 Author(s)
Ramprasad, S. ; Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA ; Shanbhag, N.R. ; Hajj, I.N.

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 0.30 π to 0.05 π, 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 0.30 π to 0.05 π, respectively. The DECOR transforms result in greater energy savings and over a larger bandwidth than existing methods

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Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on  (Volume:46 ,  Issue: 6 )