This book investigates the theoretical foundations and practical applications of multiscale signal analysis and modeling. It presents advanced techniques for analyzing signals across various scales, focusing on methods that capture complex, non-linear, and non-stationary behaviors. The work is intended for researchers and practitioners in fields such as signal processing, communications, biomedical engineering, and applied mathematics, offering a comprehensive framework for understanding and manipulating intricate data patterns.

The book is positioned as a technical monograph for specialists in signal processing and related engineering disciplines. Its focus on advanced mathematical and computational techniques suggests a dense, rigorous treatment of the subject matter. The scope appears to cover both theoretical developments and their application to real-world problems, indicating its utility for researchers seeking to deepen their understanding of multiscale phenomena in data.