Linear Systems, Signal Processing and Hypercomplex Analysis
Chapman University, November 2017
(Sprache: Englisch)
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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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.Inhaltsverzeichnis zu „Linear Systems, Signal Processing and Hypercomplex Analysis “
Multiplicative Stieltjes functions and associated pairs of reproducing kernel Hilbert spaces.- Quasi boundary triples, self-adjoint extensions, and Robin Laplacians on the half-space.- Graph Laplace and Markov operators on a Measure Space.- Conditionally free probability.- Boundary values of Discrete Monogenic Functions over Bounded Domains in R3.- Semicircular Elements Induced by Projections on Separable Hilbert Spaces.- On a Backward Shifting Problem for [ , )-non-negative Definite Sequences of Complex q x q matrices.- Evolution of Nodes and their Application to Completely Integrable PDEs.- Frobenius Determinants and Bessel functions.- Algebraic Residue Calculus Beyond the Complex Setting.
Bibliographische Angaben
- 2019, 1st ed. 2019, VIII, 316 Seiten, Maße: 15,8 x 24,3 cm, Gebunden, Englisch
- Herausgegeben: Daniel Alpay, Mihaela B. Vajiac
- Verlag: Springer, Berlin
- ISBN-10: 3030184838
- ISBN-13: 9783030184834
Sprache:
Englisch
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