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Statistical and Adaptive Signal Processing
Statistical and Adaptive Signal Processing
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Statistical and Adaptive Signal Processing

Author: D. Manolakis, V. Ingle, S. Kogon
Item# 1628

The authoritative volume offering a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. With over 3,000 equations and 300 illustrations, you get balanced coverage of implementat View Full Description

Category: GPS/GNSS Engineers
Publisher: Artech House
Manufacturer Number: 1-58053-610-7
 
 
 
 
Price: $110.00

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Statistical and Adaptive Signal Processing

Dimitris G. Manolakis, Vinay K. Ingle and Stephen M. Kogon

This volume on statistical and adaptive signal processing offers a unified, comprehensive, and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. This resource, which contains over 3,000 equations and more than 300 illustrations, provides balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike. Leading experts in industry and academia present in-depth information on a broad range of critical topics, including: 

  • Fundamentals of Discrete-Time Signal Processing
  • Random Variables, Vectors, and Sequences
  • Linear Signal Models
  • Nonparametric Power Spectrum Estimation
  • Optimum Linear Filters
  • Algorithms and Structures for Optimum Linear Filters
  • Signal Modeling and Parametric Spectral Estimation
  • Least-Squares Filtering and Prediction
  • Adaptive Filters
  • Array Processing

About the Authors

Dimitris G. Manolakis is a member of the technical staff at M.I.T. Lincoln Laboratory. Previously, he was a principle member of the research staff at Riverside Research Institute. Dr. Manolakis has taught at the University of Athens, Northeastern University, Boston College, and Wocester Polytechnic Institute. He received his Ph.D. in electrical engineering from the University of Athens, Greece. 

Vinay K. Ingle is an associate professor of electrical and computer engineering at Northeastern University. He has broad research experience and has taught courses on signal and image processing, stochastic processes, and estimation theory. Dr. Ingle received his Ph.D. in electrical engineering from Rensselaer Polytechnic Institute. 

Stephen M. Kogon is a member of the technical staff at M.I.T. Lincoln Laboratory. Previously, he has been associated with Raytheon Co., Boston College, and Georgia Tech Research Institute. Dr. Kogon received his Ph.D. in electrical engineering from the Georgia Institute of Technology. 


Publisher: Artech House
Copyright: 2005
Pages: 796
ISBN-10: 1580536107
ISBN-13: 978-1580536103
List Price: $110.00