Research on image signal identification based on adaptive array stochastic resonance

DOI10.1007/s11424-021-0133-1zbMath1485.94011OpenAlexW3139881818MaRDI QIDQ2121197

Huage Zhang, Zhenkuan Pan, Jingjing Zhao, Yu Mei Ma

Publication date: 1 April 2022

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-021-0133-1

zbMATH Keywords

signal identificationimage restorationbit error ratearray stochastic resonancesaturating nonlinearity

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Computing methodologies for image processing (68U10) Nonlinear systems in control theory (93C10) Pattern recognition, speech recognition (68T10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Uses Software

• BigDataViewer

Cites Work

• Adaptive tracking of a class of first-order systems with binary-valued observations and fixed thresholds
• Comparison of stochastic resonance in static and dynamical nonlinearities
• Optimum adaptive array stochastic resonance in noisy grayscale image restoration
• Information security protocol based system identification with binary-valued observations
• Finite-time command filtered backstepping control for a class of nonlinear systems
• Parallel array bistable stochastic resonance system with independent input and its signal-to-noise ratio improvement
• Nuclear norm subspace system identification and its application on a stochastic model of plague
• Barrier Lyapunov functions-based command filtered output feedback control for full-state constrained nonlinear systems

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