Discrete-time Signal Processing, reissued 2nd Ed.

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Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Bestandsnummer des Verkäufers M00137549202-G

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THE definitive, authoritative book on DSP ― ideal for those with an introductory-level knowledge of signals and systems. Written by prominent, DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field ― without limiting itself to specific technologies with relatively short life spans.

FEATURES

• NEW―Provides a new chapter organization.
• NEW―Material on:
  • Multi-rate filtering banks.
  • The discrete cosine transform.
  • Noise-shaping sampling strategies.
• NEW―Includes several dozen new problem-solving examples that not only illustrate key points, but demonstrate approaches to typical problems related to the material.
• NEW―Contains a wealth of "combat tested" problems which are the best produced over decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech.
• NEW―Problems are completely reorganized by level of difficulty into separate categories:
  • Basic Problems with Answers to allow the user to check their results, but not solutions (20 per chapter).
  • Basic Problems ― without answers.
  • Advanced Problems.
  • Extension Problems ― start from the discussion in the book and lead the reader beyond to glimpse some advanced areas of signal processing.
• Covers the history of discrete-time signal processing as well as contemporary developments in the field.
• Discusses the wide range of present and future applications of the technology.
• Focuses on the general and universal concepts in discrete-time signal processing.
• Offers a wealth of problems and examples.