Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (v. 1)

Kay, Steven

ISBN 10: 0133457117 / ISBN 13: 9780133457117

Edité par Pearson, 1993

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N° de réf. du vendeur ING9780133457117

Détails bibliographiques

• Titre: Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (v. 1)
• Éditeur: Pearson
• Date de parution: 1993
• Langue: anglais
• ISBN à 10 chiffres: 0133457117
• ISBN à 13 chiffres: 9780133457117
• Reliure: Hardcover
• Édition: 1st Edition.
• État de l'article: New

A propos de ce titre

Synopsis

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. KEY TOPICS: Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. MARKETS: For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals -- radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.

Présentation de l'éditeur

For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals ― radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.