ENERGY-EFFICIENT VLSI ARCHITECTURE FOR RECONFIGURABLE FIR FILTERS USING OPTIMIZED CARRY BYPASS ADDERS

Abstract

The growing demand for high-performance digital signal processing (DSP) systems in wireless communication, multimedia processing, biomedical instrumentation, and embedded applications has increased the need for energyefficient and reconfigurable hardware architectures. Finite Impulse Response (FIR) filters are fundamental components in DSP systems due to their inherent stability, linear phase characteristics, and adaptability to various signal processing tasks. However, conventional FIR filter implementations often suffer from increased power consumption, larger silicon area, and higher computational delay, particularly when operating at high sampling rates. This paper presents an energy-efficient VLSI architecture for reconfigurable FIR filters using optimized Carry Bypass Adders (CBAs). The proposed architecture integrates reconfigurable filter structures with an enhanced carry bypass adder design to improve arithmetic processing efficiency while reducing propagation delay and switching power consumption. The optimized CBA enables faster carry propagation through strategically designed bypass paths, thereby minimizing critical path delay and improving overall filter performance. Furthermore, the reconfigurable architecture supports dynamic coefficient updates and adaptable filter orders, making it suitable for multi-standard and adaptive signal processing applications. The design is modeled and evaluated using hardware description language (HDL)-based implementation and synthesized on a modern VLSI platform. Performance metrics including power consumption, area utilization, operating frequency, and processing delay are analyzed and compared with conventional FIR filter architectures. Experimental results demonstrate that the proposed approach achieves significant reductions in power consumption and computational delay while maintaining high filtering accuracy. The developed architecture offers an efficient solution for next-generation low-power DSP systems requiring flexible and high-speed signal processing capabilities. Keywords: VLSI Design, Reconfigurable FIR Filter, Carry Bypass Adder, Energy Efficiency, Digital Signal Processing, Low-Power Architecture, FPGA Implementation, Hardware Optimization, High-Speed Arithmetic, Signal Processing Systems.