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  • 1
    Book
    Book
    Digital signal processing (1986)
    London :Prentice-Hall International,
    Details
    Title: Digital signal processing
    Author: Oppenheim, Alan V.
    Contributer: Shafer, Ronald W.
    Publisher: London :Prentice-Hall International,
    Year of publication: 1986
    Pages: 585 S.
    Type of Medium: Book
    Library Location Call Number Volume/Issue/Year Availability
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    ZIB Catalog
    Zuse Institute Berlin get availability status
  • 2
    Book
    Book
    Discrete time signal processing / (1999)
    Upper Saddle River, NJ :Prentice-Hall,
    Details
    Title: Discrete time signal processing /
    Author: Oppenheim, Alan V.
    Contributer: Schafer, Ronald W.
    Edition: 2. ed.
    Publisher: Upper Saddle River, NJ :Prentice-Hall,
    Year of publication: 1999
    Pages: XXVI, 870 S.
    Series Statement: Prentice-Hall signal processing series
    ISBN: 0-13-754920-2 , 0-13-083443-2
    Type of Medium: Book
    Language: English
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  • 3
    Electronic Resource
    Electronic Resource
    Approximate Signal Processing (1997)
    Springer
    The journal of VLSI signal processing systems for signal, image, and video technology 15 (1997), S. 177-200 
    Details
    ISSN: 1573-109X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract It is increasingly important to structure signal processing algorithms and systems to allow for trading off between the accuracy of results and the utilization of resources in their implementation. In any particular context, there are typically a variety of heuristic approaches to managing these tradeoffs. One of the objectives of this paper is to suggest that there is the potential for developing a more formal approach, including utilizing current research in Computer Science on Approximate Processing and one of its central concepts, Incremental Refinement. Toward this end, we first summarize a number of ideas and approaches to approximate processing as currently being formulated in the computer science community. We then present four examples of signal processing algorithms/systems that are structured with these goals in mind. These examples may be viewed as partial inroads toward the ultimate objective of developing, within the context of signal processing design and implementation, a more general and rigorous framework for utilizing and expanding upon approximate processing concepts and methodologies.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1007986707921
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    Paper (German National Licenses)
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