Librería: Zubal-Books, Since 1961, Cleveland, OH, Estados Unidos de America
Condición: Very Good. Volume 20; 568 pp., hardcover, minor library markings, else text clean and binding tight. - 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. Nº de ref. del artículo: ZB1349021
Cantidad disponible: 1 disponibles
Librería: Orca Knowledge Systems, Inc., Novato, CA, Estados Unidos de America
Hardcover. Condición: Fine. Signed. Lightly read. No DJ. Signed and inscribed by the editor. Inscribed to Dr. Lotfi A. Zadeh, Professor, University of California, Berkeley. No other markings in book. Lotfi Zadeh is credited, along with John R. Ragazzini, in 1952, with having pioneered the development of the z-transform method in discrete time signal processing and analysis. These methods are now standard in digital signal processing, digital control, and other discrete-time systems used in industry and research. He is an editor of International Journal of Computational Cognition. From the Preface: The primary focus is the application of PR and IP in the analysis and interpretation of seismic data. In addition, many references to, and review of applications in geology, geochemistry, well logging, remote sensing, drilling and petrophysics can be found in this book. Also included is some discussion of interactive w. Nº de ref. del artículo: 3007771
Cantidad disponible: 1 disponibles
Librería: Buchpark, Trebbin, Alemania
Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Nº de ref. del artículo: 42967805/202
Cantidad disponible: 2 disponibles
Librería: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Alemania
Hardcover. Condición: gut. Pattern recognition & image processing (Handbook of geophysical exploration) In deutscher Sprache. pages. Nº de ref. del artículo: BN188566
Cantidad disponible: 1 disponibles