Discrete fourier analysis and wavelets : applications to signal and image processing
By: Broughton, S. Allen
Title By: Bryan, Kurt
Material type: BookPublisher: Hoboken, NJ : John Wiley & Sons, 2018.Edition: 2nd ed.Description: xxi, 442 p. : ill. ; 24 cm.ISBN: 9781119258223Subject(s): Wavelets (Mathematics) | Signal processing -- Mathematics | Image processing -- MathematicsDDC classification: 515.2433 BR DI Online resources: Location MapItem type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 515.2433 BR DI (Browse shelf) | Available | May2018 | T0059940 |
, Shelving location: Main Collection Close shelf browser
515.16 TH CA Calculus and analytic geometry / | 515.2 HU PR Precalculus demystified / | 515.22 BO SO Solving transcendental equations : | 515.2433 BR DI Discrete fourier analysis and wavelets : | 515.2433 BU IN Introduction to wavelets and wavelet transforms : | 515.2433 CE FO Fourier analysis | 515.2433 CO NU Numerical analysis of wavelet methods / |
Includes index.
Vector spaces, signals, and images -- The discrete fourier transform -- The discrete cosine transform -- Convolution and filtering -- Windowing and localization -- Frames -- Filter banks -- Lifting for filter banks and wavelets -- Wavelets.
Maintaining a comprehensive and accessible treatment of the concepts, methods, and applications of signal and image data transformation, this Second Edition of Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing features updated and revised coverage throughout with an emphasis on key and recent developments in the field of signal and image processing. Topical coverage includes: vector spaces, signals, and images; the discrete Fourier transform; the discrete cosine transform; convolution and filtering; windowing and localization; spectrograms; frames; filter banks; lifting schemes; and wavelets.
Discrete Fourier Analysis and Wavelets introduces a new chapter on frames a new technology in which signals, images, and other data are redundantly measured. This redundancy allows for more sophisticated signal analysis. The new coverage also expands upon the discussion on spectrograms using a frames approach. In addition, the book includes a new chapter on lifting schemes for wavelets and provides a variation on the original low–pass/high–pass filter bank approach to the design and implementation of wavelets. These new chapters also include appropriate exercises and MATLAB® projects for further experimentation and practice.