Advanced Signal Processing
- Nyhet
Decomposition, Entropy, and Machine Learning
Häftad, Engelska, 2026
1 039 kr
Kommande
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.
Produktinformation
- Utgivningsdatum2026-01-21
- Mått155 x 235 x undefined mm
- FormatHäftad
- SpråkEngelska
- SerieSpringerBriefs in Energy
- Antal sidor67
- FörlagSpringer Nature Switzerland AG
- ISBN9783032118530