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Fundamentals of Signals and Systems Using the Web and MATLAB
Fundamentals of Signals and Systems Using the Web and MATLAB
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507,91 €
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With a strong emphasis on solving problems and exploring concepts, this guidebook delivers an accessible yet comprehensive introduction to continuous-time and discrete-time signals and systems. KEY TOPICS: Discusses how to download signals (time series) from the Web and analyze the data. Includes details on common types of digital filters, such as moving average and exponential moving average filters, with applications to filtering data downloaded from the Web. Addresses signal analysis using…
  • Leidėjas:
  • ISBN-10: 0131687379
  • ISBN-13: 9780131687370
  • Formatas: 18.1 x 24.4 x 2.9 cm, kieti viršeliai
  • Kalba: Anglų

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With a strong emphasis on solving problems and exploring concepts, this guidebook delivers an accessible yet comprehensive introduction to continuous-time and discrete-time signals and systems. KEY TOPICS: Discusses how to download signals (time series) from the Web and analyze the data. Includes details on common types of digital filters, such as moving average and exponential moving average filters, with applications to filtering data downloaded from the Web. Addresses signal analysis using the DFT to extract the dominant cyclic components of a signal. Addresses the issue of noise, which often arises in engineering, business, finance, and other fields. For those interested in learning more about signals and systems.
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  • Autorius: Edward Kamen
  • Leidėjas:
  • ISBN-10: 0131687379
  • ISBN-13: 9780131687370
  • Formatas: 18.1 x 24.4 x 2.9 cm, kieti viršeliai
  • Kalba: Anglų

With a strong emphasis on solving problems and exploring concepts, this guidebook delivers an accessible yet comprehensive introduction to continuous-time and discrete-time signals and systems. KEY TOPICS: Discusses how to download signals (time series) from the Web and analyze the data. Includes details on common types of digital filters, such as moving average and exponential moving average filters, with applications to filtering data downloaded from the Web. Addresses signal analysis using the DFT to extract the dominant cyclic components of a signal. Addresses the issue of noise, which often arises in engineering, business, finance, and other fields. For those interested in learning more about signals and systems.

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