Isbn: 9780133457117 - fundamentals of statistical signal processing: estimation theory (29 risultati)

Softcover. Condizione: NEW. Brand new book. International edition printed overseas but with similar contents as compared to the US edition. Book will have a different ISBN and cover art and paperback bound. Same day shipping with tracking.

Hardcover. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardback. Condizione: Good. 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. …

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Hardback. Condizione: Good. 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. …

Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

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Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

Hardback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Neuware -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. 608 pp. Englisch. …

Hardcover. Condizione: Fine. No markings.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: new. Hardcover. This text provides a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms, which covers important approaches to obtaining an optimal estimator and analyzing its performance. Examples and real-world applications are included. The text: describes the field of parameter estimation based on time series data; provides a summary of principal approaches as well as a "roadmap" to use in the selection of an estimator; extends many of the results for real data/real parameters to complex data/complex parameters; summarizes as examples many of the important estimators used in practice; illustrates how a digital computer can be used to assess performance of an estimator; and emphasizes a linear model to allow an optimal estimator to be found by inspection of a data model. Intended for practicing engineers and scientists who design and analyze signal processing systems. This work offers a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: New. Special order direct from the distributor.

Taschenbuch. Condizione: Neu. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 608 pp. Englisch. …

Condizione: New. Intended for practicing engineers and scientists who design and analyze signal processing systems. This work offers a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Num Pages: 625 pages. BIC Classification: PBW; TJK; UYS; UYT. Category: (U) Tertiary Education (US: College). Dimension: 243 x 187 x 24. Weight in Grams: 934. . 1993. 1st Edition. Hardcover. . . . . …

Hardcover. Condizione: Brand New. 1st edition. 625 pages. 9.75x7.50x1.00 inches. In Stock.

Condizione: New. Intended for practicing engineers and scientists who design and analyze signal processing systems. This work offers a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Num Pages: 625 pages. BIC Classification: PBW; TJK; UYS; UYT. Category: (U) Tertiary Education (US: College). Dimension: 243 x 187 x 24. Weight in Grams: 934. . 1993. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Condizione: new. Hardcover. This text provides a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms, which covers important approaches to obtaining an optimal estimator and analyzing its performance. Examples and real-world applications are included. The text: describes the field of parameter estimation based on time series data; provides a summary of principal approaches as well as a "roadmap" to use in the selection of an estimator; extends many of the results for real data/real parameters to complex data/complex parameters; summarizes as examples many of the important estimators used in practice; illustrates how a digital computer can be used to assess performance of an estimator; and emphasizes a linear model to allow an optimal estimator to be found by inspection of a data model. Intended for practicing engineers and scientists who design and analyze signal processing systems. This work offers a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Condizione: New. pp. 625.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intended for practicing engineers and scientists who design and analyze signal processing systems. This work offers a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithm.…

Taschenbuch. Condizione: Neu. Fundamentals of Statistical Processing: Estimation Theory, Volume 1 | Estimation Theory, Volume 1 | Steven Kay (u. a.) | Taschenbuch | Gebunden | Englisch | 1993 | Pearson | EAN 9780133457117 | Verantwortliche Person für die EU: Prentice Hall, St.-Martin-Str. 82, 81541 München, salesde[at]pearson[dot]com | Anbieter: preigu Print on Demand.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. …