The book "Wavelets in Signal and Image Analysis" offers a comprehensive introduction to the application of wavelet theory in signal and image analysis. It highlights the fundamental mathematical concepts underlying wavelets and their impact on modern scientific disciplines. The authors, A. A. Petrosian and F. G. Meyer, combine the latest research findings with practical applications to provide a deep understanding of the development of multi-resolution processing algorithms and effective pattern recognition systems. The topics covered range from data compression to seismic applications, offering a balanced overview of the theory and its specific applications. Additionally, current advancements in emerging topics such as the dual density of the discrete wavelet transform, multiscale Bayesian estimations, and image fusion are discussed. This book is aimed at students and researchers working in acoustics, speech processing, medical imaging, and related fields.