@article{1444260,
      recid = {1444260},
      author = {Akujuobi, Cajetan M.,},
      title = {Wavelets and wavelet transform systems and their  applications : a digital signal processing approach /},
      pages = {1 online resource :},
      abstract = {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. Provides textbook  coverage of Wavelets and applications, suitable for one and  two semester courses, either at the undergraduate or  graduate level; Discusses many types of wavelets and their  applications across many disciplines; Includes MATLAB code  illustrations to simplify the understanding of the various  applications; Uses many illustrations, figures, tables, and  visual comparisons to simplify and clarify the various  concepts of wavelets, wavelet transforms and the various  application areas; Ends each chapter with review  questions/answers, as well as exercises to reinforce and  test concepts introduced; Solutions manual and PowerPoint  slides for each chapter available for instructors.},
      url = {http://library.usi.edu/record/1444260},
      doi = {https://doi.org/10.1007/978-3-030-87528-2},
}