{"product_id":"advanced-signal-processing-decomposition-entropy-and-machine-learning-9783032118530","title":"Advanced Signal Processing: Decomposition, Entropy, and Machine Learning","description":"\u003cp\u003e • Author(s): Yuning Zhang | Chenxin Yang | Peng Luo\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Power Resources - Electrical\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":47572938391703,"sku":"9783032118530","price":4003.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783032118530.webp?v=1774891524","url":"https:\/\/atlanticbooks.com\/products\/advanced-signal-processing-decomposition-entropy-and-machine-learning-9783032118530","provider":"Atlantic Books","version":"1.0","type":"link"}