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Wavelet Transform in Practice

Wavelet Transform in Practice

From Theory to Production-Ready Python Application

The series of Wavelet Transform in Practice:  From Theory to Production-Ready Python Application presents a comprehensive exploration of wavelet theory, computational methods, and real-world applications. Across five volumes, the series guides readers from the mathematical foundations of multiscale analysis to advanced wavelet techniques and domain-specific applications in scientific, environmental, financial, and digital systems. Each volume combines clear conceptual explanations with practical Python implementations to support reproducible and interpretable data analysis.

Designed for researchers, engineers, and data scientists, the series emphasizes both theoretical understanding and practical workflows. By progressing from core wavelet principles to applied signal analysis and modern analytical systems, the collection provides a structured pathway for learning how wavelets support signal processing, feature extraction, and multiscale interpretation in complex real-world data.

The bundle includes:

  • Volume I – Foundation and Core Wavelet Theory

  • Volume II-A – Applied Wavelet Analysis

  • Volume II-B – Wavelet Advanced Methods

  • Volume III-A – Scientific and Environmental Systems

  • Volume III-B – Financial, Security, and Digital Systems

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Publication Details

  • Author: Shouke Wei
  • Publisher: Deepsim Press
  • Series: Wavelet Transform in Practice · Volume I, Vollume II-A, B, Vollume III-A, B
  • Format: PDF (Digital)
  • Edition: First edition
  • Dimensions: 7.24 x 1.35 x 10.24 inches
  • Language: English

About the Author

Shouke Wei

Shouke Wei, PhD, is a researcher, scientist, and entrepreneur specializing in intelligent IoT systems, robotics, big data analytics, modeling and forecasting, early-warning systems, and edge computing. With academic and industry experience across Europe, North America, and Asia, Dr. Wei is recognized for bridging advanced theory with real-world, production-ready systems.

Dr. Wei earned his Ph.D. in Environmental and Resource Management from the Department of Environmental Informatics at Brandenburg University of Technology Cottbus–Senftenberg (Germany). He conducted postdoctoral research at the Swiss Federal Institute of Aquatic Science and Technology (Eawag), where he also served as a doctoral supervisor, and held research positions at the University of British Columbia (Canada). He has held distinguished and adjunct professorships at multiple institutions, including Yantai University, Ludong University, and Jining University. He has served as a graduate supervisor and distinguished professor in computer science, control engineering, and applied mathematics.

Dr. Wei’s work focuses on making advanced computational methods—particularly wavelet-based signal processing—accessible, practical, and impactful for researchers and practitioners worldwide. [More About the Author]

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