28, May 2025

Fixed-Point Fir Filters in Decimation and Interpolation: A Review of Design Strategies and Performance Trade-Offs

Uncategorized, VOLUME-11; ISSUE-5; MAY-2025

Author(s): 1 Swati Soni , 2 Nisha Chauhan , 3 Nidhi Sharma

Authors Affiliations:

1M Tech Scholar Department of Electronics and Communication, NIET, Greater Noida, India

2Assistant Professor , Department of Electronics and Communication , NIET, Greater Noida , India

3Assistant Professor , Department of Electronics and Communication , NIET, Greater Noida , India

DOIs:10.2015/IJIRMF/202505036     |     Paper ID: IJIRMF202505036


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This review paper presents a comprehensive analysis of fixed‐point finite impulse response (FIR) filters in decimation and interpolation applications. The study examines design strategies and performance trade‐offs that arise when implementing fixed‐point arithmetic in digital signal processing (DSP) systems. Emphasis is placed on the inherent challenges of quantization error, the selection of optimal word lengths, and the influence of computational constraints on filter performance. By synthesizing findings from thirty genuine studies, the review identifies the evolution of filter design techniques, innovative implementation methodologies, and empirical performance metrics derived from a variety of practical scenarios. The discussion highlights how filter coefficient quantization, rounding strategies, and architecture‐specific optimizations affect overall system efficiency. Furthermore, the paper contrasts algorithmic modifications with hardware‐driven design improvements to assess the balance between precision and resource usage. Key insights include the critical importance of mitigating quantization noise and optimizing fixed‐point representations to enhance decimation and interpolation performance. The review also addresses the growing influence of emerging digital hardware technologies, such as application-specific integrated circuits (ASICs) and field-programmable gate arrays (FPGAs), in shaping contemporary fixed‐point filter designs. Future research directions are suggested, including the potential of adaptive filtering techniques and the integration of machine learning for dynamic optimization. Ultimately, this paper provides researchers and engineers with a consolidated resource that bridges theoretical advancements and practical design considerations, offering a solid foundation for the next generation of fixed‐point FIR filter implementations in multi rate signal processing systems.
: Fixed‐Point FIR Filters, Decimation, Interpolation, Digital Signal Processing, Multi rate Systems, Quantization.

Swati Soni ,  Nisha Chauhan ,  Nidhi Sharma  (2025); Fixed-Point Fir Filters In Decimation And Interpolation: A Review Of Design Strategies And Performance Trade-Offs, International Journal for Innovative Research in Multidisciplinary Field, ISSN(O): 2455-0620, Vol-11, Issue-5, Pp.219-233.          Available on –   https://www.ijirmf.com/

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