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Discrete Wavelet Transform - by  D Sundararajan (Hardcover) - 1 of 1

Discrete Wavelet Transform - by D Sundararajan (Hardcover)

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Highlights

  • Provides easy learning and understanding of DWT from a signal processing point of view Presents DWT from a digital signal processing point of view, in contrast to the usual mathematical approach, making it highly accessible Offers a comprehensive coverage of related topics, including convolution and correlation, Fourier transform, FIR filter, orthogonal and biorthogonal filters Organized systematically, starting from the fundamentals of signal processing to the more advanced topics of DWT and Discrete Wavelet Packet Transform.
  • About the Author: Dr. D. Sundararajan, Department Head of Electrical and Electronics Engineering, Adhiyamaan College of Engineering, India.
  • 344 Pages
  • Technology, Signals & Signal Processing

Description



Book Synopsis



Provides easy learning and understanding of DWT from a signal processing point of view

  • Presents DWT from a digital signal processing point of view, in contrast to the usual mathematical approach, making it highly accessible
  • Offers a comprehensive coverage of related topics, including convolution and correlation, Fourier transform, FIR filter, orthogonal and biorthogonal filters
  • Organized systematically, starting from the fundamentals of signal processing to the more advanced topics of DWT and Discrete Wavelet Packet Transform.
  • Written in a clear and concise manner with abundant examples, figures and detailed explanations
  • Features a companion website that has several MATLAB programs for the implementation of the DWT with commonly used filters

"This well-written textbook is an introduction to the theory of discrete wavelet transform (DWT) and its applications in digital signal and image processing."
-- Prof. Dr. Manfred Tasche - Institut für Mathematik, Uni Rostock

Full review at https: //zbmath.org/?q=an:06492561



From the Back Cover



This easily accessible text makes the learning of the discrete wavelet transform (DWT) easy to understand. Relatively new, DWT is fast becoming a widely used technique in signal and image processing applications, and is essential to know for all signal processing specialists. To facilitate learning for students and professionals with general engineering backgrounds, the author presents DWT using a unique signal processing approach instead of the usual mathematical approaches. The book also includes a large number of examples and figures that illustrate various concepts.

  • Presents DWT from a digital signal processing point of view, in contrast to the usual mathematical approach, making it highly accessible
  • Offers a comprehensive coverage of related topics, including convolution and correlation, Fourier transform, FIR filter, orthogonal and biorthogonal filters
  • Organized systematically, starting from the fundamentals of signal processing to the more advanced topics of DWT and Discrete Wavelet Packet Transform
  • Written in a clear and concise manner with abundant examples, figures and detailed explanations
  • Features a companion website that has several MATLAB programs for the implementation of the DWT with commonly used filters

Discrete Wavelet Transform: A Signal Processing Approach with its clarity and concision, as well as numerous examples, is written with graduate and advanced signal processing students in mind. Industry researchers and professionals will also find it an accessible and comprehensive refresher guide.



Review Quotes




"Doubtless, this nice book will stimulate the practical education in the theory of DWT and its applications." (Zentralblatt MATH, 2016)




About the Author



Dr. D. Sundararajan, Department Head of Electrical and Electronics Engineering, Adhiyamaan College of Engineering, India.
Dr. Sundararajan obtained his PhD in Electrical Engineering at Concordia University, Montreal, Canada in 1988. As the principle inventor of the latest family of DFT algorithms, he has written three books, three Patents (which have been granted by US, Canada and Britain), and several papers in IEEE Transactions and in the Proceedings of IEEE Conference.
Dimensions (Overall): 9.6 Inches (H) x 6.5 Inches (W) x .9 Inches (D)
Weight: 1.46 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 344
Genre: Technology
Sub-Genre: Signals & Signal Processing
Publisher: Wiley
Format: Hardcover
Author: D Sundararajan
Language: English
Street Date: July 29, 2015
TCIN: 1008779817
UPC: 9781119046066
Item Number (DPCI): 247-21-0528
Origin: Made in the USA or Imported
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Estimated ship dimensions: 0.9 inches length x 6.5 inches width x 9.6 inches height
Estimated ship weight: 1.46 pounds
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Q: What unique approach does this book take towards DWT?

submitted by AI Shopping Assistant - 1 month ago
  • A: It presents DWT using a digital signal processing approach, contrasting with typical mathematical methods, enhancing accessibility.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What topics are covered alongside DWT in the book?

submitted by AI Shopping Assistant - 1 month ago
  • A: Topics include convolution, correlation, Fourier transform, and various types of filters, providing a comprehensive understanding of the subject.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: Who is the author of this textbook?

submitted by AI Shopping Assistant - 1 month ago
  • A: The author is Dr. D. Sundararajan, who is the Department Head at Adhiyamaan College of Engineering, India.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What is the main focus of the book?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book focuses on the Discrete Wavelet Transform from a signal processing perspective, making it accessible for learners.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: Does the book include practical resources for learning?

submitted by AI Shopping Assistant - 1 month ago
  • A: Yes, it features a companion website with various MATLAB programs for implementing DWT with common filters.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

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