ISBN: 9780133457117 - fundamentals of statistical processing: estimation theory, volume 1: estimation theory, volume 1 (prentice-hall signal processing series) (17 Ergebnisse)

Hardcover. Zustand: 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.

Hardcover. Zustand: 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. Zustand: 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. …

Zustand: 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.…

Zustand: Fine. *Price HAS BEEN REDUCED by 10% until Monday, Nov. 9 (weekend SALE item)* 595 pp., hardcover, small hand stamp to the front paste down, else fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. …

Hardback. Zustand: 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.

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

Taschenbuch. Zustand: 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. …

Zustand: new.

Zustand: New.

Taschenbuch. Zustand: 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.…

Zustand: As New. Unread book in perfect condition.

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

Taschenbuch. Zustand: 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. …

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

Hardcover. Zustand: 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. …

Zustand: New. pp. 625.