Fujian Normal University & University of Huddersfield, Fuzhou & Huddersfield, China
Email: 2661394907@qq.com
Manuscript received July 4, 2026; accepted August 1, 2026; published August 26, 2026
Abstract—Signal processing serves as a fundamental technology for extracting information and optimizing systems in many application areas that include communications, radar and medical imaging. However, on the one hand, the research is not very deeply concerned with diversified application of multi-type signal characteristics, and on the other hand the adaptability of Fourier transform in complex environment or scene is not studied enough. Signal classification, including the properties of signals, Fourier Transform, and its applications are the subject of this paper, based on a mixture of theory and example cases. This paper finds that various signals (e.g., 1 5 continuous/discrete, periodic/non401 6 periodic) have different processing strategies, and Fourier Transform is capable of effectively transforming signals from time to frequency domain, it is reliable for representing information, and extracting information. This work provides theoretical proofs for cross-domain application in signal processing.
Keywords—signal processing, fourier transform, signal characteristics, spectrum analysis, signal classification
Cite: Weiwen Zhu, "Fundamentals of Signal Processing, Characteristics of Common Signals, and Applications," International Journal of Engineering and Technology, vol. 18, no. 3, pp. 150-153, 2026.
Copyright © 2026 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (
CC BY 4.0).
