Advanced Signal Processing Techniques for IoT Devices

Authors

  • Drew Miller PhD
  • Riley Gonzalez PhD
  • Skyler Moore PhD

Keywords:

IoT, Signal Processing, Noise Reduction, Data Compression, Energy Efficiency

Abstract

In recent years, the Internet of Things (IoT) has revolutionized the way electronic systems operate by enabling connectivity and communication between devices. This paper explores advanced signal processing techniques that enhance the efficiency and performance of IoT devices. By focusing on noise reduction, data compression, and energy efficiency, the study provides comprehensive insights into optimizing IoT systems. The findings have significant implications for the development of smarter and more efficient electronic systems.
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Author Biographies

Drew Miller, PhD

PhD
Massachusetts Institute of Technology
77 Massachusetts Ave, Cambridge, MA 02139, USA

Riley Gonzalez, PhD

PhD
Technische Universität München
Arcisstraße 21, 80333 München, Germany

Skyler Moore, PhD

PhD
University of Tokyo
7 Chome-3-1 Hongo, Bunkyo City, Tokyo 113-8654, Japan

References

Stall, K. (2025). EMBRACING INDUSTRY 5.0: HUMAN-CENTRIC DESIGN OF IIoT ENABLED DIGITAL TWINS IN THE PRINTING INDUSTRY. Scientific Papers of Silesian University of Technology. Organization & Management/Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie, (223).

Sanandaji, M. M., Ebrahimzadeh, D., Haider, M. I., Banad, Y. M., Poleksic, A., & Ding, H. (2026). Machine learning model for predicting surface wettability in laser-textured metal alloys. arXiv preprint arXiv:2601.11661.

Published

2026-03-18

Issue

Section

Articles