Linear Systems, Signal Processing and Hypercomplex Analysis
Chapman University, November 2017
This volume includes contributions originating from a conference held at Chapman University during November 14-19, 2017. It presents original research by experts in signal processing, linear systems, operator theory, complex and hypercomplex analysis and related topics.
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Produktdetails
Weitere Autoren: Vajiac, Mihaela B. (Hrsg.)
- ISBN: 978-3-030-18483-4
- EAN: 9783030184834
- Produktnummer: 31949580
- Verlag: Springer Nature EN
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 316 S.
- Masse: H23.5 cm x B15.5 cm 0 g
- Auflage: 1st ed. 2019
- Reihenbandnummer: 275
- Sonstiges: Research
35 weitere Werke von Daniel (Hrsg.) Alpay:
Recent Advances in Inverse Scattering, Schur Analysis and Stochastic Processes
Chapman University, November 2017
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Noncommutative Analysis, Operator Theory and Applications
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Indefinite Inner Product Spaces, Schur Analysis, and Differential Equations
Chapman University, November 2017
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Interpolation, Schur Functions and Moment Problems II
Chapman University, November 2017
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Wavelets, Multiscale Systems and Hypercomplex Analysis
Chapman University, November 2017
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Linear Systems, Signal Processing and Hypercomplex Analysis
Chapman University, November 2017
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Complex Function Theory, Operator Theory, Schur Analysis and Systems Theory
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Reproducing Kernels and their Applications
Chapman University, November 2017
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Reproducing Kernel Spaces and Applications
Chapman University, November 2017
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