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books
| book details |
Advanced Signal Processing: Decomposition, Entropy, and Machine Learning
By (author) Yuning Zhang, By (author) Chenxin Yang, By (author) Peng Luo, By (author) Heng Zhang
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| on special |
normal price: R 2 267.95
Price: R 2 153.95
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| book description |
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.
| product details |
Normally shipped |
Publisher | Springer Nature Switzerland AG
Published date | 14 Jan 2026
Language |
Format | Paperback / softback
Pages | 83
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0321-1853-0
Readership Age |
BISAC |
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| specials |
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Carlo Rovelli
Paperback / softback
208 pages
was: R 295.95
now: R 265.95
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Carlo Rovelli
Paperback / softback
224 pages
was: R 295.95
now: R 265.95
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Originally published in Italian: L'ordine del tempo (Milan: Adelphi Edizioni, 2017).
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