Description
Discrete Wavelet Transforms (DWT) represents a fundamental technique in modern signal processing and computational mathematics. This book by Iwahashi M. provides an in-depth exploration of wavelet theory, covering both theoretical foundations and practical applications. The text examines how wavelets decompose signals into different frequency components while preserving temporal information, making them invaluable for analyzing non-stationary signals.
The book addresses key concepts including wavelet families, filter banks, multiresolution analysis, and decomposition algorithms. Readers will discover applications across diverse fields such as image processing, audio compression, denoising, and feature extraction. Through systematic explanations and mathematical rigor, the material bridges the gap between abstract theory and real-world implementation, offering practitioners and researchers essential tools for advanced signal analysis and data processing techniques.
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