Advanced Signal Processing : Decomposition, Entropy, and Machine Learning
Overview
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.
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Details
- ISBN-13: 9783032118530
- ISBN-10: 3032118530
- Publisher: Springer
- Publish Date: January 2026
- Dimensions: 9.24 x 6.15 x 0.2 inches
- Shipping Weight: 0.35 pounds
- Page Count: 83
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