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Linear Systems, Signal Processing and Hypercomplex Analysis = Chapman University, November 2017 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Linear Systems, Signal Processing and Hypercomplex Analysis/ edited by Daniel Alpay, Mihaela B. Vajiac.
其他題名:	Chapman University, November 2017 /
其他作者:	Alpay, Daniel.
面頁冊數:	VIII, 316 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Functional analysis. -
電子資源:	https://doi.org/10.1007/978-3-030-18484-1
ISBN:	9783030184841

Linear Systems, Signal Processing and Hypercomplex Analysis = Chapman University, November 2017 /
Linear Systems, Signal Processing and Hypercomplex AnalysisChapman University, November 2017 /[electronic resource] :edited by Daniel Alpay, Mihaela B. Vajiac. - 1st ed. 2019. - VIII, 316 p.online resource. - Linear Operators and Linear Systems,2752504-3609 ;. - Linear Operators and Linear Systems,244.

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.

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.

ISBN: 9783030184841

Standard No.: 10.1007/978-3-030-18484-1doiSubjects--Topical Terms:

527706
Functional analysis.

LC Class. No.: QA319-329.9

Dewey Class. No.: 515.7

Linear Systems, Signal Processing and Hypercomplex Analysis = Chapman University, November 2017 /
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