Article: Study on high-frequency noise optimisation in analogue circuits under stochastic signal fluctuations Journal: International Journal of Computer Applications in Technology (IJCAT) 2026 Vol.78 No.6 pp.57 - 67 Abstract: By optimising the high-frequency noise of analogue circuits, the anti-interference ability of analogue circuits can be effectively improved, ensuring the purity of signals during transmission and processing. Therefore, an optimisation method of high-frequency noise in analogue circuits considering the stochastic fluctuation characteristics of signals is proposed. Collect analogue circuit signals, extract wavelet packet energy features, composite multi-scale entropy features and stochastic fluctuation features, and use self-attention mechanism to enhance the features, thereby achieving high-frequency noise recognition in analogue circuits. After determining the presence of high-frequency noise in the signal, CEEMDAN is used to decompose the analogue circuit signal and optimise the high-frequency noise of the analogue circuit through signal filtering and reconstruction operations. The experimental results show that the high-frequency noise recognition accuracy of the proposed method remains stable at over 95%, with an average noise coefficient of about 0.15 and an optimisation time of less than 2 s. Inderscience Publishers - linking academia, business and industry through research

Title: Study on high-frequency noise optimisation in analogue circuits under stochastic signal fluctuations

Authors: Tian Wang; Jinjin Dou

Addresses: College of Intelligent Manufacturing Engineering, Zhanjiang University of Science and Technology, Zhanjiang 524086, China ' College of Intelligent Manufacturing Engineering, Zhanjiang University of Science and Technology, Zhanjiang 524086, China

Abstract: By optimising the high-frequency noise of analogue circuits, the anti-interference ability of analogue circuits can be effectively improved, ensuring the purity of signals during transmission and processing. Therefore, an optimisation method of high-frequency noise in analogue circuits considering the stochastic fluctuation characteristics of signals is proposed. Collect analogue circuit signals, extract wavelet packet energy features, composite multi-scale entropy features and stochastic fluctuation features, and use self-attention mechanism to enhance the features, thereby achieving high-frequency noise recognition in analogue circuits. After determining the presence of high-frequency noise in the signal, CEEMDAN is used to decompose the analogue circuit signal and optimise the high-frequency noise of the analogue circuit through signal filtering and reconstruction operations. The experimental results show that the high-frequency noise recognition accuracy of the proposed method remains stable at over 95%, with an average noise coefficient of about 0.15 and an optimisation time of less than 2 s.

Keywords: stochastic fluctuation characteristics of signals; analogue circuit; high-frequency noise; enhance the features; high-frequency noise recognition; CEEMDAN.

DOI: 10.1504/IJCAT.2026.153742

International Journal of Computer Applications in Technology, 2026 Vol.78 No.6, pp.57 - 67

Received: 11 Sep 2025
Accepted: 09 Dec 2025
Published online: 22 May 2026 *

Title: Study on high-frequency noise optimisation in analogue circuits under stochastic signal fluctuations

Keep up-to-date