Isbn: 9780521034050 - bootstrap techniques signal process (13 resultados)

Paperback. Condición: Wie neu. 232 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 485.

Condición: New.

Paperback. Condición: New.

Condición: New. An introduction to the use of the bootstrap in signal processing. Num Pages: 232 pages, 41 b/w illus. 34 tables. BIC Classification: TJF; TJK; UYS. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 12. Weight in Grams: 380. . 2008. Illustrated. paperback. . . . .

Condición: New. In English.

Condición: New. pp. 232.

Condición: New. An introduction to the use of the bootstrap in signal processing. Num Pages: 232 pages, 41 b/w illus. 34 tables. BIC Classification: TJF; TJK; UYS. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 12. Weight in Grams: 380. . 2008. Illustrated. paperback. . . . . Books ship from the US and Ireland.…

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering and automotive engineering.…

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condición: New. Print on Demand pp. 232 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 232.

Paperback. Condición: new. Paperback. The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering and automotive engineering. The statistical bootstrap is a powerful tool in signal processing. This book covers the foundations of the bootstrap, its properties, its strengths, its limitations and model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The statistical bootstrap is a powerful tool in signal processing. This book covers the foundations of the bootstrap, its properties, its strengths, its limitations and model selection. The theory developed in the book is supported by a number of useful pra. …