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010   $a3-032-11854-9
024 7 $a10.1007/978-3-032-11854-7
035   $a(CKB)44769877200041
035   $a(MiAaPQ)EBC32471210
035   $a(Au-PeEL)EBL32471210
035   $a(DE-He213)978-3-032-11854-7
035   $a(EXLCZ)9944769877200041
100   $a20260102d2025      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvanced Signal Processing $eDecomposition, Entropy, and Machine Learning /$fby Yuning Zhang, Chenxin Yang, Peng Luo, Heng Zhang
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (93 pages)
225 1 $aSpringerBriefs in Energy,$x2191-5539
311 08$a3-032-11853-0 
327   $aIntroduction -- Signal decomposition methods -- Entropy analysis methods -- Machine learning methods -- Signal denoising applications -- Pattern recognition applications -- Conclusion.
330   $aThis brief explores advanced signal processing techniques, focusing on signal decomposition, entropy analysis, and machine learning, with applications in energy-related fields such as hydroturbines, wind turbines, and power grids. It provides a detailed overview of methods for signal denoising and pattern recognition, covering techniques like wavelet transform, empirical mode decomposition, permutation entropy, and deep learning models. Through real-world engineering case studies, the book demonstrates how these methods enhance data analysis, improve fault detection, and optimize system performance, making it a valuable resource for researchers, engineers, and students in signal processing and mechanical engineering.
410  0$aSpringerBriefs in Energy,$x2191-5539
606   $aElectric power distribution
606   $aWater-power
606   $aElectrical engineering
606   $aMachine learning
606   $aEnergy Grids and Networks
606   $aHydroenergy
606   $aElectrical and Electronic Engineering
606   $aMachine Learning
615  0$aElectric power distribution.
615  0$aWater-power.
615  0$aElectrical engineering.
615  0$aMachine learning.
615 14$aEnergy Grids and Networks.
615 24$aHydroenergy.
615 24$aElectrical and Electronic Engineering.
615 24$aMachine Learning.
676   $a321.319
700   $aZhang$b Yuning$01732309
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911049216703321
996   $aAdvanced Signal Processing$94521894
997   $aUNINA