Linear Systems, Signal Processing and Hypercomplex Analysis : Chapman University, November 2017 / / edited by Daniel Alpay, Mihaela B. Vajiac

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (320 pages)
• Disciplina: 515
• Soggetto topico: Functional analysis; Partial differential equations; Functions of complex variables; Functional Analysis; Partial Differential Equations; Functions of a Complex Variable
• Persona (resp. second.): AlpayDaniel; VajiacMihaela B
• Nota di contenuto: 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 [α,∞)-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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Linear Systems, Signal Processing and Hypercomplex Analysis
• ISBN: 3-030-18484-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910349345403321
• Lo trovi qui: Univ. Federico II
• Serie: Linear Operators and Linear Systems, . 2504-3609 ; ; 275