Prem Kumar

Papers

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About

Prem Kumar is a researcher specializing in digital signal processing and VLSI design, with a particular focus on residue number system (RNS)-based architectures for advanced filtering applications. His key contributions center on the development of efficient two-dimensional finite impulse response (FIR) filters, which are critical in image processing, medical imaging, and pattern recognition due to their phase linearity and stability. Kumar’s most cited work, "Design of RNS-KSA Based 2D FIR Filter" (2024), introduces a novel approach combining RNS with Kogge-Stone adders to enhance computational speed and reduce hardware complexity, achieving 1 citation to date. This research addresses the growing demand for high-performance, low-power filtering systems in real-time applications. Kumar’s work is notable for bridging theoretical algorithm design with practical VLSI implementation, offering scalable solutions for next-generation signal processing. His contributions are particularly relevant for students and researchers exploring hardware-efficient digital filters, as they demonstrate how number system innovations can optimize both speed and resource utilization in embedded systems.