Advances in Sampling Theory and Techniques, Paperback / softback Book

Advances in Sampling Theory and Techniques Paperback / softback

Part of the Press Monographs series

Paperback / softback

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This book provides both the most updated formulations of the sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, as well interpolation-error-free methods of image resampling and the theory of discrete representation of signal integral transforms.

Topics include classical sampling theory, compressed sensing, non-redundant sampling, fast signal resampling algorithms, the discrete uncertainty principle, digital convolution, and various versions of discrete Fourier transforms.

Exercises based in MATLAB supplement the text throughout.

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