Wavelet Theory detailed syllabus scheme for Electronics & Telecommunication Engineering (ET), 2020-21 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 8th Sem Scheme of Electronics & Telecommunication Engineering (ET), 2020-21 Onwards, do visit ET 8th Sem Scheme, 2020-21 Onwards. For the Elective-VI Labs scheme of 8th Sem 2020-21 onwards, refer to ET 8th Sem Elective-VI Labs Scheme 2020-21 Onwards. The detail syllabus for wavelet theory is as follows.
Wavelet Theory Syllabus for Electronics & Telecommunication Engineering (ET) 4th Year 8th Sem 2020-21 DBATU
Course Objectives:
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Course Outcomes:
At the end of the course, students will demonstrate the ability to:
- Understand time-frequency nature of the signals.
- Apply the concept of wavelets to practical problems.
- Mathematically analyze the systems or process the signals using appropriate wavelet functions.
UNIT – 1
Introduction Introduction to time frequency analysis; the how, what and why about wavelets, Short-time Fourier transform.
UNIT – 2
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UNIT – 3
Construction of Wavelets Tiling of the time-frequency plane and wave packet analysis, Construction of wavelets.
UNIT – 4
Multi Resolution Analysis Multi resolution analysis, Introduction to frames and biorthogonal wavelets.
UNIT – 5
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UNIT – 6
Applications Application of wavelet theory to signal denoising, image and video compression, multi-tone digital communication, transient detection.
Text Books:
- Y. T. Chan, Wavelet Basics, Kluwer Publishers, Boston, 1993.
- I. Daubechies, Ten Lectures on Wavelets, Society for Industrial and Applied Mathematics, Philadelphia, PA, 1992.
- C. K. Chui, An Introduction to Wavelets, Academic Press Inc., New York, 1992.
- Gerald Kaiser, A Friendly Guide to Wavelets, Birkhauser, New York, 1995.
- P. P. Vaidyanathan, Multirate Systems and Filter Banks, Prentice Hall, New Jersey, 1993.
- A.N. Akansu and R.A. Haddad, Multireso lution signal Decomposition: Transforms, Subbands and Wavelets, Academic Press, Oranld, Florida, 1992.
- B.Boashash, Time-Frequency signal analysis, In S.Haykin, (editor), Advanced Spectral Analysis, pages 418–517. Prentice Hall, New Jersey, 1991.
For detail syllabus of all subjects of Electronics & Telecommunication Engineering (ET) 8th Sem 2020-21 onwards, visit ET 8th Sem Subjects of 2020-21 Onwards.