Nonlinear Signal And Image Processing : Theory, Methods, And Applications Kenneth E. (University Of Delaware, Newark, Usa) Barner
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Nonlinear Signal and Image ProcessingTheory, Methods, and Applications\nAuthor(s): Kenneth E. Barner, Gonzalo R. Arce\nFormat: Hardback\nPublisher: Taylor & Francis Inc, United States\nImprint: CRC Press Inc\nISBN-13: 9780849314278, 978-0849314278\nSynopsis\nNonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical.\n\nThis book details recent advances in nonlinear theory and methods and explores an array of modern signal and image processing applications. The first several chapters focus on nonlinear signal processing theory, targeting three critical areas: filter analysis, nonlinear filter class design, and signal analysis. The remaining chapters explore nonlinear approaches across the broad spectrum of applications with signal processing .
Nonlinear Signal And Image Processing : Theory, Methods, And Applications Kenneth E. (University Of Delaware, Newark, Usa) Barner
Nonlinear Signal and Image ProcessingTheory, Methods, and Applications\nAuthor(s): Kenneth E. Barner, Gonzalo R. Arce\nFormat: Hardback\nPublisher: Taylor & Francis Inc, United States\nImprint: CRC Press Inc\nISBN-13: 9780849314278, 978-0849314278\nSynopsis\nNonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical.\n\nThis book details recent advances in nonlinear theory and methods and explores an array of modern signal and image processing applications. The first several chapters focus on nonlinear signal processing theory, targeting three critical areas: filter analysis, nonlinear filter class design, and signal analysis. The remaining chapters explore nonlinear approaches across the broad spectrum of applications with signal processing .
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