Optimizing FIR Filters for High-Speed Signal Processing
S Anushka, Jathin Shreyas Rajesh, Kanva Harish, Ram Sharma Nitesh, Aswini N · 2025
This paper introduces an optimized 15-tap low-pass finite impulse response (FIR) filter that is well placed for high-speed and low power signal processing. The design employs a Kogge Stone Adder (KSA) for high-speed carry propagation and a Booth multiplier which supports zero sequences efficiently to minimize hardware complexity. The FIR filter coefficients are obtained using the Kaiser window technique in MATLAB, with a sampling frequency of 20 kHz, a passband frequency of 4.5 kHz, and a stopband frequency of 5 kHz. Compared to conventional CSA and Booth-based FIR filter designs, the proposed implementation demonstrates significantly lower propagation delay and reduced power dissipation, making it more efficient for real-time applications. The design’s effectiveness is validated through MATLAB simulations and RTL schematics. Experimental results demonstrate improved computational efficiency (delay) over conventional FIR filter architectures. These improvements establish the proposed FIR filter as an energy-efficient and high-speed alternative for modern DSP applications.