Performance and analysis of Single-channel and Multiple channel based Approximate Distributed Arithmetic Filter Design

Efficient digital filtering is critical for modern signal processing applications. This work presents an Adaptive Distributed Arithmetic (ADA)-based FIR filter designed for single-channel and scalable multi-channel configurations on FPGA. The proposed design incorporates error- controlled approximation and optimized computation to reduce LUT usage, power consumption, and processing delay. Implementation using the Xilinx Vivado environment demonstrates improved area efficiency and speed while maintaining acceptable signal quality. The results indicate that the ADA approach is well- suited for low-power, high-throughput FPGA-based DSP applications.