A Digital Signal Processing Approach
Buch, Englisch, 644 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1168 g
ISBN: 978-3-030-87527-5
Verlag: Springer International Publishing
This textbook is unique because of its in-depth treatment of the applications of wavelets and wavelet transforms to many areas, across many disciplines. The book is written to serve the needs of a one or two semester course at either the undergraduate or graduate level. The author uses a very simplified, accessible approach that de-emphasizes mathematical rigor. The presentation includes many diagrams to illustrate points being discussed and uses MATLAB for all of application code. The author reinforces concepts introduced in the book with easy to grasp review questions and problems, tailored to each specific chapter for better mastery of the subject matter. This book enables students to understand the fundamental concepts of wavelets and wavelet transforms, as well as how to use them for problem solutions in digital signal and image processing, mixed-signal testing, space applications, aerospace applications, biomedical, cyber security, homeland security and many other application areas.
Zielgruppe
Upper undergraduate
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
Weitere Infos & Material
Introduction.- Fundamental Concepts.- Wavelets and Wavelet Transforms.- Generations of Wavelets.- Test Point Selection Using Wavelet Transformation for DACS.- Wavelet-Based Dynamic Testing of ADCs.- Wavelet-Based Static Testing of ADCs.- Wavelet-Based Compression Using Nonorthogonal and Orthogonally Compensated W-Matrices.- Wavelet Application to Compressive Sampling or Compressed Sensing.- Application of Wavelets to Video Compression.- Wavelet and Fractal Applications to the Screening of Mammography.- Application of Wavelets to Image Segmentation.- Hybrid Wavelet and Fractal-Based Segmentation.- Application of Wavelets to Information Security.- Application of Wavelets to Biometrics.- Application of Wavelets to Broadband Line Code Communication Systems.- Wavelet Application in Broadband Power Line Communication Systems.- Application of Wavelets to Signal Detection, Discrimination and Estimation.- Application of Wavelets to Vibration Detection in an Aeroelastic System.- Application of Wavelets to Signal and Image Restoration.- Application of Wavelets to Image Multiscale Analysis Representation.- Wavelet Application in Remote Sensing.- Application of Wavelets to Electromagnetics.- Wavelet Application to Watermarking.- Wavelet Application to Acoustics.