High-order reconfigurable FIR filter design based on statistical analysis of CSD coefficients
Rui Jia, Fei Wang, Rui Chen, Xinggang Wang, Delong Shang, Haigang Yang
Abstract
Rui Jia, Fei Wang, Rui Chen, Xinggang Wang, Delong Shang, Haigang Yang
Abstract
Performance and power consumption are two important aspects of reconfigurable finite impulse response (FIR) filters. In this paper, a new reconfigurable FIR architecture named SCSD FIR is proposed. This proposed architecture has been synthesized in 0.13 μm technology with a precision of 16 bits. Design example shows that FIR with 551 taps achieves 21.3% area reduction and 19.0% power reduction compared with the most efficient existing architecture of FIRs. It also achieves an improvement of 13.1% in speed. Furthermore, these advantages are expanded as the taps of filters are increasing.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Performance and power consumption are two important aspects of reconfigurable finite impulse response (FIR) filters. In this paper, a new reconfigurable FIR architecture named SCSD FIR is proposed. This proposed architecture has been synthesized in 0.13 μm technology with a precision of 16 bits. Design example shows that FIR with 551 taps achieves 21.3% area reduction and 19.0% power reduction compared with the most efficient existing architecture of FIRs. It also achieves an improvement of 13.1% in speed. Furthermore, these advantages are expanded as the taps of filters are increasing.
Key concepts: Finite impulse response, Reduction (mathematics), Computer science, Architecture, Power consumption, Field-programmable gate array, Filter (signal processing), Power (physics)