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Discrete Stochastic Processes and Optimal Filtering

Product Image: Discrete Stochastic Processes and Optimal Filtering

Discrete Stochastic Processes and Optimal Filtering

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Description
Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from the extraction of noise signals. Moreover, it is a fundamental feature in a range of applications, such as in navigation in aerospace and aeronautics, filter processing in the telecommunications industry, etc. This book provides a comprehensive overview of this area, discussing random and Gaussian vectors, outlining the results necessary for the creation of Wiener and adaptive filters used for stationary signals, as well as examining Kalman filters which are used in relation to non-stationary signals. Exercises with solutions feature in each chapter to demonstrate the practical application of these ideas using Matlab.
Product details
Edition:
1
Number of Pages:
287
Release Date:
2007-05-09
Publication Date:
2007-05-25
Publisher:
Wiley
Languages:
Original: English
ISBN10:
1905209746
ISBN13:
9781905209743
GPSR Manufacturer Reference:
Weight:
581 g
Height:
157 cm
Width:
238 cm
Thickness:
21 cm
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