wavelet volume iii b cover front

Financial, Security, and Digital Systems

Financial, Security, and Digital Systems

Finance, Data Security, Signal Processing, and Anomaly Detection

Wavelet Transform in Practice, Volume III-B explores how wavelet-based analysis operates within financial, information, and digital signal systems.

Building on the foundations established in Volumes I and II, this volume examines multiscale behavior in complex data generated by markets, communicationsystems, and digital media.

Topics include:

  • Wavelet-based data security and steganography
  • Multiscale analysis of financial time series
  • Audio signal analysis
  • Wavelet-based anomaly detection

Through practical Python implementations and system-oriented discussions, this volume demonstrates how multiscale wavelet analysis can be applied to complex digital and financial data. By combining theoretical insights with reproducible workflows, the book shows how wavelet techniques can support tasks such as signal interpretation, anomaly detection, secure information embedding, and the analysis of dynamic financial systems in real-world applications.

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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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