Introduction to Random Signal Analysis and Kalman Filtering
β Scribed by Robert Grover Brown
- Year
- 1983
- Tongue
- English
- Leaves
- 179
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This second edition of a standard textbook focuses on applied Kalman filtering and its random signal analysis. Important to all control system and communication engineers, the text emphasizes applications, computer software and associated sets of special computer problems. Along with actual case studies, a diskette is included with the book to enable readers to actually see how Kalman filtering works.
π SIMILAR VOLUMES
This book provides first-year graduate engineering students and practicing engineers with a solid introduction to random signals and estimation. It includes a statistical background that is often omitted in other textbooks but is essential for a clear understanding of estimators and their properties
This book provides first-year graduate engineering students and practicing engineers with a solid introduction to random signals and estimation. It includes a statistical background that is often omitted in other textbooks but is essential for a clear understanding of estimators and their properties
The FourthΒ Edition to the <i>Introduction of Random Signals and Applied Kalman Filtering</i> is updated to cover innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applications from the past decade. The text updates both the research advances in variations on the Ka
In this updated edition the main thrust is on applied Kalman filtering. Chapters 1-3 provide a minimal background in random process theory and the response of linear systems to random inputs. The following chapter is devoted to Wiener filtering and the remainder of the text deals with various facets