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Adaptive Filtering and Change Detection

Description

* Comprehensive coverage includes many examples and case studies to illustrate the ideas and show what can be achieved

* Uniquely integrates applications to airborne, automotive and communications systems with the essential mathematical tools

* Accompanying Matlab toolbox available on the web illustrating the main ideas and enabling the reader to do simulations using all the figures and numerical examples featured

This text would prove to be an essential reference for postgraduates and researchers studying digital signal processing as well as practising digital signal processing engineers.

 

 

Keywords

estimated�change�times �state�linear�model �unstructured�residuals �augmented�state�space�model �noise�cancelation �asymptotic�local�approach �minimum�segment�length two�change�points �optimal�code�length �whiteness�test �based�change�detection �change�point�estimation �slip�slope �linear�adaptive�filter �change�detection�algorithms measurement�update �divergence�test �fast�filter �parameter�tracking �backward�model �adaptation�gain �blind�equalization �signal�estimation �linear�equalizer �noise�scaling

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