Advanced Signal Processing Decomposition, Entropy, and Machine Learning

Advanced Signal Processing Decomposition, Entropy, and Machine Learning | 10.77 MB

Title: Advanced Signal Processing
Author: Yuning Zhang
Category: Nonfiction, Science & Nature, Technology, Electricity, Power Resources, Mathematics, Statistics
Language: English | 87 Pages | ISBN: 3032118530

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.

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