Dynamic Partial Reconfigurable FIR Filter

Abstract : Finite Impulse Response (FIR) filters are fundamental building blocks in digital signal processing systems due to their inherent stability and linear phase characteristics. Among various structures, the transposed FIR filter architecture is widely preferred for high-speed and hardware-efficient implementations because it enables parallel multiply–accumulate operations and reduces critical path delay. In this paper, we present the design and implementation of an n-tap transposed FIR filter based on the architecture shown in Fig. 1. The proposed design realizes the FIR filtering operation by arranging multipliers, adders, and delay elements in a transposed form, allowing efficient pipelining and improved throughput. The filter computes the output as a weighted sum of the current and previous input samples, where each tap corresponds to a coefficient multiplier followed by accumulation. The architecture is described using hardware description language (HDL) and synthesized for FPGA implementation to demonstrate its suitability for reconfigurable digital signal processing applications. The proposed implementation highlights simplicity, scalability with respect to the number of taps, and suitability for high-speed FPGA-based DSP systems.