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Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing

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This textbook for undergraduate mathematics, science, and engineering students introduces the theory and applications of discrete Fourier and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis. Key Features: - Accessible account of the theory and applications of discrete Fourier and wavelet transforms based on ten years of classroom use - Introduction of discrete wavelet transforms for digital signals via elementary lifting steps and filter banks - Interweaving of mathematical theory with examples and applications to digital signal processing and image compression - Computer explorations of signal and image processing in each chapter - Mathematical concepts clarified by more than 90 figures and 75 exercises with detailed solutions.

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Signal Processing in Home Assistants. Multimedia Forensics. Careers in Signal Processing.

(DFT) Discrete Fourier Transform in Image Processing

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Create Account Sign in. The authors have simplified the concepts and presentation, which allows students to move from the mathematical models to the applications more quickly.

Most of the competing texts focus on the concepts of imaging science and algorithms while Broughton and Bryan's book is more focused on the underlying mathematics, with image compression as a motivation. This book is not a straight theorem-proof mathematical treatise, nor a cookbook of algorithms. Fax: Fax outside U. About This Book S. Find full courses and labs.

Fourier analysis

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