Isbn: 9780471259756 - random processes: filtering, estimation, and detection (ieee press) (9 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.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Gebundene Ausgabe. Zustand: Wie neu. Auflage: 1. minimale Lagerspuren am Buch, Inhalt einwandfrei und ungelesen Sprache: Englisch Gewicht in Gramm: 1030.

Zustand: New. In English.

Zustand: New. pp. xvii + 608 Illus.

Zustand: New. LONNIE C. LUDEMAN, PhD, received his doctorate from Arizona State University and is Professor Emeritus of electrical and computer engineering at New Mexico State University. In 1993, he was a Fulbright Scholar at the Aristotle University in Thessaloniki, Gr.

Hardcover. Zustand: Brand New. 1st edition. 632 pages. 9.25x6.25x1.25 inches. In Stock.

Zustand: New. An understanding of random processes is crucial to many engineering fields-including communication theory, computer vision, and digital signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering. Num Pages: 632 pages, Illustrations. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 221 x 164 x 39. Weight in Grams: 1070. . 2003. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Buch. Zustand: Neu. Neuware - An understanding of random processes is crucial to many engineering fields-including communication theory, computer vision, and digital signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering. The filtering, estimation, and detection of random processes in noisy environments are critical tasks necessary in the analysis and design of new communications systems and useful signal processing algorithms. Random Processes: Filtering, Estimation, and Detection clearly explains the basics of probability and random processes and details modern detection and estimation theory to accomplish these tasks.In this book, Lonnie Ludeman, an award-winning authority in digital signal processing, joins the fundamentals of random processes with the standard techniques of linear and nonlinear systems analysis and hypothesis testing to give signal estimation techniques, specify optimum estimation procedures, provide optimum decision rules for classification purposes, and describe performance evaluation definitions and procedures for the resulting methods. The text covers four main, interrelated topics:\* Probability and characterizations of random variables and random processes\* Linear and nonlinear systems with random excitations\* Optimum estimation theory including both the Wiener and Kalman Filters\* Detection theory for both discrete and continuous time measurementsLucid, thorough, and well-stocked with numerous examples and practice problems that emphasize the concepts discussed, Random Processes: Filtering, Estimation, and Detection is an understandable and useful text ideal as both a self-study guide for professionals in the field and as a core text for graduate students.…