Autorenfreundlich Bücher kaufen?!
Beschreibung
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.
Decomposition, Entropy, and Machine Learning
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 03. Januar 2026 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 171 Gramm |
| Format | Softcover |
| ISBN-13 | 9783032118530 |
| Seiten | 83 |
Schlagwörter
Herstellerinformationen
Bekannt durch
