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Applied Neural Networks for Signal Processing
Applied Neural Networks for Signal Processing
Knygos.lt klubas Knygos.lt nariams
120,88 €
-30%
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172,69 €
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The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Signal Processing is the first book to provide a comprehensive introduction to this broad field. It begins by covering the basic principles and models of neural networks in signal processing. The authors then discuss a number of powerful algorithms and architectures for a range of important problems, and describe practical implementation procedures. A…
  • Leidėjas:
  • Metai: 1999
  • Puslapiai: 382
  • ISBN-10: 0521644003
  • ISBN-13: 9780521644006
  • Formatas: 17.9 x 25.4 x 2.1 cm, minkšti viršeliai
  • Kalba: Anglų

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The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Signal Processing is the first book to provide a comprehensive introduction to this broad field. It begins by covering the basic principles and models of neural networks in signal processing. The authors then discuss a number of powerful algorithms and architectures for a range of important problems, and describe practical implementation procedures. A key feature of the book is that many carefully designed simulation examples are included to help guide the reader in the development of systems for new applications. The book will be an invaluable reference for scientists and engineers working in communications, control or any other field related to signal processing. It can also be used as a textbook for graduate courses in electrical engineering and computer science.

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  • Autorius: Fa-Long Luo
  • Leidėjas:
  • Metai: 1999
  • Puslapiai: 382
  • ISBN-10: 0521644003
  • ISBN-13: 9780521644006
  • Formatas: 17.9 x 25.4 x 2.1 cm, minkšti viršeliai
  • Kalba: Anglų

The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Signal Processing is the first book to provide a comprehensive introduction to this broad field. It begins by covering the basic principles and models of neural networks in signal processing. The authors then discuss a number of powerful algorithms and architectures for a range of important problems, and describe practical implementation procedures. A key feature of the book is that many carefully designed simulation examples are included to help guide the reader in the development of systems for new applications. The book will be an invaluable reference for scientists and engineers working in communications, control or any other field related to signal processing. It can also be used as a textbook for graduate courses in electrical engineering and computer science.

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