Advanced Signal Processing : Decomposition, Entropy, and Machine Learning / / by Yuning Zhang, Chenxin Yang, Peng Luo, Heng Zhang

• Autore: Zhang Yuning
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (93 pages)
• Disciplina: 321.319
• Soggetto topico: Electric power distribution; Water-power; Electrical engineering; Machine learning; Energy Grids and Networks; Hydroenergy; Electrical and Electronic Engineering; Machine Learning
• Nota di contenuto: Introduction -- Signal decomposition methods -- Entropy analysis methods -- Machine learning methods -- Signal denoising applications -- Pattern recognition applications -- Conclusion.
• Sommario/riassunto: This brief explores advanced signal processing techniques, focusing on signal decomposition, entropy analysis, and machine learning, with applications in energy-related fields such as hydroturbines, wind turbines, and power grids. It provides a detailed overview of methods for signal denoising and pattern recognition, covering techniques like wavelet transform, empirical mode decomposition, permutation entropy, and deep learning models. Through real-world engineering case studies, the book demonstrates how these methods enhance data analysis, improve fault detection, and optimize system performance, making it a valuable resource for researchers, engineers, and students in signal processing and mechanical engineering.
• Titolo autorizzato: Advanced Signal Processing
• ISBN: 3-032-11854-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911049216703321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Energy, . 2191-5539