Name
Abstract | ||
|---|---|---|
This paper presents a low-power finite-impulse response filter design by using differential coefficients and inputs instead of using them directly such that fewer bits are required, thereby reducing the size of arithmetic units and power dissipation. We present an improved algorithm to effectively generate differential coefficients so that the differential coefficients methods can be applied to full bandwidth (BW) of filters instead of only narrow-band filters in previous approaches. Simulations with fixed coefficient filters indicate reduction in transition activity ranging from 1-53% over the full range of filter BW's. The presented results can be applied to adaptive filters to generate suitable differential coefficients |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/82.823543 | IEEE Transactions on Circuits and Systems Ii: Analog and Digital Signal Processing |
Keywords | Field | DocType |
low-power fir filter realization,finite-impulse response filter design,arithmetic units,full bandwidth filters,power dissipation reduction,differential coefficients,low-power electronics,digital arithmetic,transition activity reduction,fir filters,differential inputs,adaptive filters,digital filters,filtering theory,fixed coefficient filters,first order,probability,finite impulse response filter,fir filter,convolution,network synthesis,computer architecture,performance,probability distribution,speedup,digital signal processing,dsp,algorithm design and analysis | Mathematical optimization,Algorithm design,Digital filter,Convolution,Computer science,Network synthesis filters,Algorithm,Theoretical computer science,Probability distribution,Finite impulse response,Energy consumption,Speedup | Conference |
Volume | Issue | ISSN |
47 | 2 | 1057-7130 |
Citations | PageRank | References |
13 | 1.53 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tian-Sheuan Chang | 1 | 712 | 69.10 |
| Yuan-Hua Chu | 2 | 99 | 38.56 |
| Chein-Wei Jen | 3 | 588 | 68.52 |