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  • BTU Cottbus  (3)
  • SB Rathenow
  • Wissenschaftspark Albert Einstein
  • Algorithmus  (3)
  • 1
    Online Resource
    Online Resource
    New York, NY : Springer New York
    UID:
    b3kat_BV045187187
    Format: 1 Online-Ressource (XII, 268 p)
    Edition: Second Edition
    ISBN: 9781475727678
    Series Statement: Signal Processing and Digital Filtering
    Content: This book is based on several courses taught during the years 1985-1989 at the City College of the City University of New York and at Fudan Univer­ sity, Shanghai, China, in the summer of 1986. It was originally our intention to present to a mixed audience of electrical engineers, mathematicians and computer scientists at the graduate level a collection of algorithms that would serve to represent the vast array of algorithms designed over the last twenty years for computing the finite Fourier transform (FFT) and finite convolution. However, it was soon apparent that the scope of the course had to be greatly expanded. For researchers interested in the design of new algorithms, a deeper understanding of the basic mathematical concepts underlying algorithm design was essential. At the same time, a large gap remained between the statement of an algorithm and the implementation of the algorithm. The main goal of this text is to describe tools that can serve both of these needs. In fact, it is our belief that certain mathematical ideas provide a natural language and culture for understanding, unifying and implementing a wide range of digital signal processing (DSP) algo­ rithms. This belief is reinforced by the complex and time-consuming effort required to write code for recently available parallel and vector machines. A significant part of this text is devoted to establishing rules and procedures that reduce and at times automate this task
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781441931153
    Language: English
    Keywords: Digitale Signalverarbeitung ; Algorithmus ; Tensorprodukt ; Fourier-Transformation ; Datenverarbeitung ; Faltung ; Algorithmus ; Faltung ; Datenverarbeitung ; Diskrete Fourier-Transformation ; Algorithmus ; Aufgabensammlung
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV045186656
    Format: 1 Online-Ressource (XV, 350 p. 1 illus)
    ISBN: 9781475738544
    Series Statement: Signal Processing and Digital Filtering
    Content: This book is based on several courses taught during the last five years at the City College of the City University of New York and at Fudan University, Shanghai, China in the Summer, 1986. It was originally our intention to present to a mixed audience of electrical engineers, mathematicians and computer scientists at the graduate level, a collection of algorithms which would serve to represent the vast array of algorithms designed over the last twenty years for com­ puting the finite Fourier transform (FFT) and finite convolution. However, it was soon apparent that the scope of the course had to be greatly expanded. For researchers interested in the design of new algorithms, a deeper understanding of the basic mathematical con­ cepts underlying algorithm design was essential. At the same time, a large gap remained between the statement of an algorithm and the implementation of the algorithm. The main goal of this text is to describe tools which can serve both of these needs. In fact, it is our belief that certain mathematical ideas provide a natural lan­ guage and culture for understanding, unifying and implementing a wide range of digital signal processing (DSP) algorithms. This belief is reenforced by the complex and time-consumming effort required to write code for recently available parallel and vector machines. A significant part of this text is devoted to establishing rules and precedures which reduce and at times automate this task. In Chapter 1, a survey is given of basic algebra
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781475738568
    Language: English
    Keywords: Digitale Signalverarbeitung ; Algorithmus ; Tensorprodukt ; Fourier-Transformation ; Datenverarbeitung ; Faltung ; Algorithmus ; Faltung ; Datenverarbeitung ; Diskrete Fourier-Transformation ; Algorithmus ; Aufgabensammlung
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    New York, NY : Springer New York
    UID:
    b3kat_BV042420134
    Format: 1 Online-Ressource (XIV, 348p. 152 illus)
    ISBN: 9781461234869 , 9781461281214
    Note: One of the basic tenets of science is that deterministic systems are completely predictable-given the initial condition and the equations describing a system, the behavior of the system can be predicted 1 for all time. The discovery of chaotic systems has eliminated this viewpoint. Simply put, a chaotic system is a deterministic system that exhibits random behavior. Though identified as a robust phenomenon only twenty years ago, chaos has almost certainly been encountered by scientists and engi­ neers many times during the last century only to be dismissed as physical noise. Chaos is such a wide-spread phenomenon that it has now been reported in virtually every scientific discipline: astronomy, biology, biophysics, chemistry, engineering, geology, mathematics, medicine, meteorology, plasmas, physics, and even the social sci­ ences. It is no coincidence that during the same two decades in which chaos has grown into an independent field of research, computers have permeated society. It is, in fact, the wide availability of inex­ pensive computing power that has spurred much of the research in chaotic dynamics. The reason is simple: the computer can calculate a solution of a nonlinear system. This is no small feat. Unlike lin­ ear systems, where closed-form solutions can be written in terms of the system's eigenvalues and eigenvectors, few nonlinear systems and virtually no chaotic systems possess closed-form solutions
    Language: English
    Keywords: Nichtlineares dynamisches System ; Chaotisches System ; Algorithmus ; Chaostheorie ; Numerische Mathematik ; Algorithmus ; Chaos ; Algorithmus ; Nichtlineares System
    Library Location Call Number Volume/Issue/Year Availability
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