• Free delivery over $50 nationwide
  • 14 days money back guarantee
  • Lowest price guarantee in Australia

Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises

Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises

ISBN 9781118213520
Edition 4
Publication Date
Publisher Wiley
Author(s)
Overview
Advances in computers and personal navigation systems have greatly expanded the applications of Kalman filters. A Kalman filter uses information about noise and system dynamics to reduce uncertainty from noisy measurements. Common applications of Kalman filters include such fast-growing fields as autopilot systems, battery state of charge (SoC) estimation, brain-computer interface, dynamic positioning, inertial guidance systems, radar tracking, and satellite navigation systems.

Brown and Hwang's bestselling textbook introduces the theory and applications of Kalman filters for senior undergraduates and graduate students. This revision updates both the research advances in variations on the Kalman filter algorithm and adds a wide range of new application examples. The book emphasizes the application of computational software tools such as MATLAB. The companion website includes M-files to assist students in applying MATLAB to solving end-of-chapter homework problems.
Available
eTextbook

Savings : $5.06 (5% off)

eTextbook

Due Date

RRP $101.15

You save 5% off Retail Price