Key result
The proposed modified FIR filter architecture using a Radix-2r multiplier and 4:2 compressors significantly reduced critical path delay compared to conventional architectures for EOG signal denoising.
The proposed FIR filter architecture using Radix-2r multipliers and 4:2 compressors reduces critical path delay for denoising EOG signals.
May accelerate real-time EOG denoising in hardware; leaves open clinical validation before practice adoption.
In this paper, a modified finite impulse response (FIR) filter design has been proposed for the denoising bio-electrical signals like Electrooculography(EOG). The proposed filter architecture uses modified multiplier block, which is implemented using modified Radix-[Formula: see text] arithmetic-based representation for minimizing the multiple constant multiplication and conventional ripple carry adders are replaced with [Formula: see text] compressors. This proposed architecture is implemented by using Radix-[Formula: see text]-based multiplier and [Formula: see text] compressor architectures for achieving better improvement in the critical path delay. The Radix-[Formula: see text]-based arithmetic bit recording is used in order to reduce the design complexity of the multiplication. The proposed architecture significantly reduced the delay when compared to existing and conventional architectures.
No takes yet. Share an insight, caveat, or question.
Kumar et al. (2021) studied Electrooculography (EOG) signal denoising. Modified finite impulse response (FIR) filter using Radix-2r multiplier and 4:2 compressors vs. Existing and conventional architectures was evaluated on Critical path delay. The proposed modified FIR filter architecture using a Radix-2r multiplier and 4:2 compressors significantly reduced critical path delay compared to conventional architectures for EOG signal denoising.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: