Discrete stochastic processes and optimal filtering Jean-Claude Bertein and Roger Ceschi

By:

Bertein, Jean-Claude

Contributor(s):

Ceschi, Roger (jt. auth.)

Publication details: London: Wiley-ISTE, 2007.Description: xiv, 287pISBN:

1905209746
9781905209743

Subject(s):

DDC classification:

621.3822 BED

Summary: 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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	Central Library Allama Iqbal Open University Islamabad General Stacks	621.3822 BED (Browse shelf(Opens below))	Available		112442

Browsing Central Library Allama Iqbal Open University Islamabad shelves, Shelving location: General Stacks Close shelf browser (Hides shelf browser)

Previous								Next
Previous	621.3822 ADA Adaptive signal processing in wireless communications /	621.3822 AMD Digital signal processing : a modern introduction	621.3822 BAI Introduction to signals and systems and digital signal processing	621.3822 BED Discrete stochastic processes and optimal filtering	621.3822 CAD Digital signal processing	621.3822 DEW Wiley survival guide in global telecommunications : signaling principles, protocols, and wireless systems /	621.3822 DIG The digital signal processing handbook : wireless, networking, radar, sensor array processing, and nonlinear signal prcessing	Next

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.

Eng

There are no comments on this title.

to post a comment.

Back to results

121 Organic reaction mechanisms, 2004.
122 Organic structures from spectra
by Field, Leslie D.
123 Organic structures from spectra
by Field, L. D.
124 Organic synthesis :
by Wyatt, Paul.
125 Organometallic compounds of low-coordinate Si, Ge, Sn and Pb
by Lee, Vladimir Ya.
126 Perspectives on modern south asia
127 Pesticide application methods
by Matthews, G. A.
128 Physical biochemistry
by Sheehan, David
129 Plant genes, genomes and genetics
by Grotewold, Erich
130 Practical digital control
by Zickic, A. M.
131 A practical guide to scientific data analysis
by Livingstone, David J.
132 Practical high-performance liquid chromatography
by Meyer, Veronika R.
133 Principles and applications of photochemistry /
by Wardle, Brian.
134 Printed antennas for wireless communications.
135 Private equity in action
by Zeisberger, Claudia
136 Qualitative research methods
by Tracy, Sarah J.
137 Radical media ethics
by Ward Stephen J. A.
138 Radionuclides in the environment
139 Readings in planning theory
140 Recoverable and recyclable catalysts