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New Book - Discrete Fourier and Wavelet Transforms: An Introduction through Linear Algebra with Applications to Signal Processing
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News and Resources for Members of the IEEE Signal Processing Society
New Book - Discrete Fourier and Wavelet Transforms: An Introduction through Linear Algebra with Applications to Signal Processing
"Discrete Fourier and Wavelet Transforms: An Introduction through Linear Algebra with Applications to Signal Processing" is a new undergraduate textbook authored by Roe W Goodman from Rutgers University. 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
Sample chapter is available here: www.worldscientific.com/worldscibooks/10.1142/9835
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| Call for Nominations: IEEE Medals & Recognitions | 15 June 2024 |
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SPS ON X
- THIS WEEK: Join NASA’s Dr. Jacqueline Le Moigne as she shares her journey through academia, the private sector, and pivotal roles at NASA, emphasizing her work in signal processing, computer vision, and related technologies. Register now! https://x.com/IEEEsps/status/1785057479606288505
- Join NASA’s Dr. Jacqueline Le Moigne for this interactive webinar as she shares her journey through the realms of signal processing, computer vision, and related technologies, including her pivotal roles at NASA. https://x.com/IEEEsps/status/1782468413551423536
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