Wavelets and Wavelet Transform Systems and Their Applications: A Digital Signal Processing Approach

This textbook is unique due to its in-depth coverage of wavelets and wavelet transforms across various disciplines, making it suitable for a one or two-semester course at the undergraduate or graduate level. It employs a simplified and accessible approach, with numerous diagrams and MATLAB application code. The author reinforces concepts with review questions and problems, tailored to each chapter, aiding students in understanding and applying wavelets in digital signal and image processing, mixed-signal testing, space applications, aerospace applications, biomedical, cyber security, homeland security, and other fields.

Format: Hardback
Length: 644 pages
Publication date: 03 February 2022
Publisher: Springer Nature Switzerland AG

This textbook stands out for its comprehensive coverage of the applications of wavelets and wavelet transforms across a wide range of disciplines. Written with the needs of a one or two-semester course at the undergraduate or graduate level in mind, the author employs a simplified and accessible approach that prioritizes clarity over mathematical rigor. The presentation is enhanced with numerous diagrams to illustrate key concepts, and MATLAB is used for all application code. To reinforce the learning experience, the author includes easy-to-understand review questions and problems tailored to each specific chapter, aimed at improving mastery of the subject matter.

By delving into the fundamentals of wavelets and wavelet transforms, this book empowers students to grasp these complex concepts and apply them to solve problems in digital signal and image processing, mixed-signal testing, space applications, aerospace applications, biomedical engineering, cyber security, homeland security, and numerous other application domains.

The textbook's unique approach and comprehensive coverage make it an invaluable resource for students, researchers, and practitioners seeking to advance their understanding and expertise in wavelet analysis and its diverse applications.

Weight: 1172g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030875275
Edition number: 1st ed. 2022