Adapted Wavelet Analysis by Mladen Victor Wickerhause
About Course
This detail-oriented text is intended for engineers and applied mathematicians who must write computer programs to perform wavelet and related analysis on real data. It contains an overview of mathematical prerequisites and proceeds to describe hands-on programming techniques to implement special programs for signal analysis and other applications. From the table of contents: – Mathematical Preliminaries – Programming Techniques – The Discrete Fourier Transform – Local Trigonometric Transforms – Quadrature Filters – The Discrete Wavelet Transform – Wavelet Packets – The Best Basis Algorithm – Multidimensional Library Trees – Time-Frequency Analysis – Some Applications – Solutions to Some of the Exercises – List of Symbols – Quadrature Filter Coefficients
Product Details
- Hardcover:504 pages
- Publisher:A K Peters/CRC Press; 1 edition (April 17, 1996)
- Language:English
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Course Features
- Lectures 0
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 97
- Assessments Yes