A Critical Review on Noise Reduction Techniques in Analog and Digital Circuit Design

Abstract

Noise in electronic circuits has been a critical challenge since the advent of communication and signal processing technologies. In analog and digital circuit design, noise can severely impact performance, degrade reliability, and limit system efficiency. As communication systems evolve towards high-speed, low-power, and high-efficiency designs for next-generation applications, noise reduction techniques have gained renewed significance. This paper provides a comprehensive critical review of noise reduction methods in both analog and digital circuit design, exploring the origins, characteristics, and mitigation approaches for various noise types such as thermal, flicker, shot, quantization, and switching noise. Special emphasis is placed on practical techniques such as low-noise amplifier design, filtering, shielding, differential signaling, adaptive noise cancellation, error correction codes, and digital signal processing-based suppression mechanisms. The review further discusses trade-offs between complexity, power, and performance in modern VLSI design and evaluates the suitability of techniques in applications including biomedical devices, IoT, 5G communication, and automotive electronics. The study concludes with insights into emerging trends such as machine learning assisted noise reduction and hardware-software co-optimization for robust circuit performance in future technologies.

KEYWORDS: Noise reduction, Analog circuits, Digital circuits, Signal integrity, Flicker noise, Thermal noise, VLSI design, 5G communication