Synergistic Integration of Asynchronous FIFO and FIR Filters: A Novel Framework for Advanced Digital Signal Processing
Chengtian Wang · Highlights in Science Engineering and Technology · 2024
This study rigorously investigates the synergistic integration of Asynchronous FIFO (First-In, First-Out) with FIR (Finite Impulse Response) filters, proposing an advanced framework for digital signal processing. It commences by elucidating the cardinal significance of Asynchronous FIFO and FIR filters within the modern landscape of digital signal processing. The architecture of the Asynchronous FIFO is given primacy, emphasizing its avant-garde address management facilitated by the incorporation of a "toggle" register in the empty module. Additionally, the manuscript offers a comprehensive analysis of assorted methodologies for embedding FIR filters into the Asynchronous FIFO. The preferred method involves the infusion of DSP algorithms into the FIFO for precise simulation and modeling. A salient feature of this research is the introduction of a novel technique that utilizes a moving average filter algorithm to refine data granularity. In conclusion, the research accentuates the expansive applicability of this amalgamated methodology, with potential usages in realms such as audio refinement, video noise diminution, and biomedical signal processing, underscoring its pivotal role across varied sectors of digital signal processing.