Introduction To Random Signals And Applied Kalman Filtering With Matlab Exercises

 ( Book Product ) 

Advances in computers and personal navigation systems have greatly expanded the applications of Kalman filters

• Introduction To Random Signals And Applied Kalman Filtering With Matlab Exercises available on September 17 2017 from VitalSource for itemprop="offers" target="_external" title="" itemscope itemtype="http://schema.org/Offer">24.66
  
• ISBN bar code 9781118214855 ξ1 registered April 04 2016
  
• Product category is Book

• Sku # 9781118214855R180
  

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.

^ Introduction To Random Signals And Applied Kalman Filtering With Matlab Exercises VitalSource. ISBN 9781118214855 (revised Sep 2017)