Positive Trigonometric Polynomials and Signal Processing Applications: Signals and Communication Technology
Autor Bogdan Alexandru Dumitrescuen Limba Engleză Hardback – 8 feb 2007
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 781.35 lei 39-44 zile | |
SPRINGER NETHERLANDS – 27 ian 2011 | 781.35 lei 39-44 zile | |
Hardback (1) | 567.86 lei 39-44 zile | |
SPRINGER NETHERLANDS – 8 feb 2007 | 567.86 lei 39-44 zile |
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Specificații
ISBN-13: 9781402051241
ISBN-10: 1402051247
Pagini: 256
Ilustrații: XIV, 242 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.54 kg
Ediția:2007
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Signals and Communication Technology
Locul publicării:Dordrecht, Netherlands
ISBN-10: 1402051247
Pagini: 256
Ilustrații: XIV, 242 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.54 kg
Ediția:2007
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Signals and Communication Technology
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
POSITIVE POLYNOMIALS.- GRAM MATRIX REPRESENTATION.- MULTIVARIATE POLYNOMIALS.- POLYNOMIALS POSITIVE ON DOMAINS.- DESIGN OF FIR FILTERS.- ORTHOGONAL FILTERBANKS.- STABILITY.- DESIGN OF IIR FILTERS.
Recenzii
From the reviews:
"The book under review is a new contribution on the topic, with a focus on signal processing applications. … this is the first self-contained manuscript on this emerging research area, and hence it is a welcome and timely contribution to the technical literature. … use of illustrative numerical examples, accompanied by Matlab scripts, allows the inexperienced reader to grasp the essential ideas without having to understand all the mathematical subtelties. In particular, signal processing engineers should benefit a lot from reading the book … ." (Didier Henrion, Zentralblatt MATH, Vol. 1126 (3), 2008)
"Trigonometric polynomials that are positive on the unit circle play an essential role in a number of digital filtering problems. … The text would be quite suitable for use as the basis of lectures, for it has proofs written out, a survey of the literature and many exercises." (A. Bultheel, Mathematical Reviews, Issue 2007 m)
"The book under review is a new contribution on the topic, with a focus on signal processing applications. … this is the first self-contained manuscript on this emerging research area, and hence it is a welcome and timely contribution to the technical literature. … use of illustrative numerical examples, accompanied by Matlab scripts, allows the inexperienced reader to grasp the essential ideas without having to understand all the mathematical subtelties. In particular, signal processing engineers should benefit a lot from reading the book … ." (Didier Henrion, Zentralblatt MATH, Vol. 1126 (3), 2008)
"Trigonometric polynomials that are positive on the unit circle play an essential role in a number of digital filtering problems. … The text would be quite suitable for use as the basis of lectures, for it has proofs written out, a survey of the literature and many exercises." (A. Bultheel, Mathematical Reviews, Issue 2007 m)
Caracteristici
Comprehensive study of positive trigonometric polynomials LMI parameterizations of sum-of-squares trigonometric polynomials Applications in optimization of 1-D and 2-D filter design, orthogonal filterbanks New stability criteria for multidimensional systems
Descriere
Descriere de la o altă ediție sau format:
Positive and sum-of-squares polynomials have received a special interest in the latest decade, due to their connections with semidefinite programming. Thus, efficient optimization methods can be employed to solve diverse problems involving polynomials. This book gathers the main recent results on positive trigonometric polynomials within a unitary framework; the theoretical results are obtained partly from the general theory of real polynomials, partly from self-sustained developments. The optimization applications cover a field different from that of real polynomials, mainly in signal processing problems: design of 1-D and 2-D FIR or IIR filters, design of orthogonal filterbanks and wavelets, stability of multidimensional discrete-time systems.
Positive Trigonometric Polynomials and Signal Processing Applications has two parts: theory and applications. The theory of sum-of-squares trigonometric polynomials is presented unitarily based on the concept of Gram matrix (extended to Gram pair or Gram set). The presentation starts by giving the main results for univariate polynomials, which are later extended and generalized for multivariate polynomials. The applications part is organized as a collection of related problems that use systematically the theoretical results. All the problems are brought to a semidefinite programming form, ready to be solved with algorithms freely available, like those from the library SeDuMi.
Positive and sum-of-squares polynomials have received a special interest in the latest decade, due to their connections with semidefinite programming. Thus, efficient optimization methods can be employed to solve diverse problems involving polynomials. This book gathers the main recent results on positive trigonometric polynomials within a unitary framework; the theoretical results are obtained partly from the general theory of real polynomials, partly from self-sustained developments. The optimization applications cover a field different from that of real polynomials, mainly in signal processing problems: design of 1-D and 2-D FIR or IIR filters, design of orthogonal filterbanks and wavelets, stability of multidimensional discrete-time systems.
Positive Trigonometric Polynomials and Signal Processing Applications has two parts: theory and applications. The theory of sum-of-squares trigonometric polynomials is presented unitarily based on the concept of Gram matrix (extended to Gram pair or Gram set). The presentation starts by giving the main results for univariate polynomials, which are later extended and generalized for multivariate polynomials. The applications part is organized as a collection of related problems that use systematically the theoretical results. All the problems are brought to a semidefinite programming form, ready to be solved with algorithms freely available, like those from the library SeDuMi.