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  • 1
    UID:
    b3kat_BV040922352
    Format: 1 Online-Ressource (xix, 214 Seiten)
    ISBN: 0306481405 , 9780306481406 , 0792376420
    Series Statement: Kluwer international series in engineering and computer science SECS 662
    Note: Includes bibliographical references and index
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books ; Electronic books.
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Cover
    URL: Full text  (Click to View (Currently Only Available on Campus))
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV047875472
    Format: 1 Online-Ressource (XVI, 94 p. 91 illus., 70 illus. in color)
    Edition: 1st ed. 2022
    ISBN: 9783030927462
    Series Statement: Analog Circuits and Signal Processing
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92745-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92747-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-92748-6
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    UID:
    b3kat_BV045148547
    Format: 1 Online-Ressource (XX, 214 p)
    ISBN: 9780306481406
    Series Statement: The International Series in Engineering and Computer Science, Analog Circuits and Signal Processing 662
    Content: The enormous rise of digital applications in the last two decades arouses the suggestion that analog techniques will lose their importance. However in applications that work with digital signals analog techniques are still very important for a number of reasons. First the signal that must be processed or stored may be analog at the input and output of the system. Second when digital circuits must operate at high speed the analog behavior becomes important again. And third when only limited bandwidth and signal to noise ratio is available the theoretical maximum data rate is determined by Shannon’s law. This theoretical limit can only be approximated in practice when complex modulation schemes are used, and after this modulation process the signal is analog again. Of course this does effect the tremendous advantage of digital signals compared to analog signals. Where analog signals deteriorate every time they are processed or stored, digital signals can be recovered perfectly when they are tailored to the properties of the system they are used for. The accuracy of digital signal processing is only limited by practical constraints and many digital signals can be compressed very effective so that after compression they use less bandwidth then their analog counterparts. In any aplication there will thus be analog and digital parts and often the choice has to be made if an analog or a digital solution is preferred for a certain function
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780792376422
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    Online Resource
    Online Resource
    New York :Kluwer Academic Publishers,
    UID:
    edocfu_9958075035902883
    Format: 1 online resource (235 p.)
    Edition: 1st ed. 2002.
    ISBN: 0-306-48140-5
    Series Statement: International Series in Engineering and Computer Science, Analog Circuits and Signal Processing ; Volume 662
    Content: The enormous rise of digital applications in the last two decades arouses the suggestion that analog techniques will lose their importance. However in applications that work with digital signals analog techniques are still very important for a number of reasons. First the signal that must be processed or stored may be analog at the input and output of the system. Second when digital circuits must operate at high speed the analog behavior becomes important again. And third when only limited bandwidth and signal to noise ratio is available the theoretical maximum data rate is determined by Shannon’s law. This theoretical limit can only be approximated in practice when complex modulation schemes are used, and after this modulation process the signal is analog again. Of course this does effect the tremendous advantage of digital signals compared to analog signals. Where analog signals deteriorate every time they are processed or stored, digital signals can be recovered perfectly when they are tailored to the properties of the system they are used for. The accuracy of digital signal processing is only limited by practical constraints and many digital signals can be compressed very effective so that after compression they use less bandwidth then their analog counterparts. In any aplication there will thus be analog and digital parts and often the choice has to be made if an analog or a digital solution is preferred for a certain function.
    Note: Description based upon print version of record. , Power considerations in sub-micron digital CMOS -- Power considerations in sub-micron analog CMOS -- Gm-C integrators for low-power and low voltage applications. A gaussian polyphase filter for mobile transceivers in 0.35?m CMOS -- Chopping: a technique for noise and offset reduction -- Low-noise, low residual offset, chopped amplifiers for high-end applications -- A 16-bit D/A interface with Sinc approximated semidigital reconstruction filter -- Conclusions. , English
    Additional Edition: ISBN 0-7923-7642-0
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    New York :Kluwer Academic Publishers,
    UID:
    edoccha_9958075035902883
    Format: 1 online resource (235 p.)
    Edition: 1st ed. 2002.
    ISBN: 0-306-48140-5
    Series Statement: International Series in Engineering and Computer Science, Analog Circuits and Signal Processing ; Volume 662
    Content: The enormous rise of digital applications in the last two decades arouses the suggestion that analog techniques will lose their importance. However in applications that work with digital signals analog techniques are still very important for a number of reasons. First the signal that must be processed or stored may be analog at the input and output of the system. Second when digital circuits must operate at high speed the analog behavior becomes important again. And third when only limited bandwidth and signal to noise ratio is available the theoretical maximum data rate is determined by Shannon’s law. This theoretical limit can only be approximated in practice when complex modulation schemes are used, and after this modulation process the signal is analog again. Of course this does effect the tremendous advantage of digital signals compared to analog signals. Where analog signals deteriorate every time they are processed or stored, digital signals can be recovered perfectly when they are tailored to the properties of the system they are used for. The accuracy of digital signal processing is only limited by practical constraints and many digital signals can be compressed very effective so that after compression they use less bandwidth then their analog counterparts. In any aplication there will thus be analog and digital parts and often the choice has to be made if an analog or a digital solution is preferred for a certain function.
    Note: Description based upon print version of record. , Power considerations in sub-micron digital CMOS -- Power considerations in sub-micron analog CMOS -- Gm-C integrators for low-power and low voltage applications. A gaussian polyphase filter for mobile transceivers in 0.35?m CMOS -- Chopping: a technique for noise and offset reduction -- Low-noise, low residual offset, chopped amplifiers for high-end applications -- A 16-bit D/A interface with Sinc approximated semidigital reconstruction filter -- Conclusions. , English
    Additional Edition: ISBN 0-7923-7642-0
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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