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Foundations and Trends® in
Signal Processing

Editor-in-Chief:
Robert M. Gray,
Dept of Electrical Engineering
Stanford University
350 Serra Mall
Stanford, CA 94305
USA
Tel: +1 (650) 723-4001
ee.stanford.edu/~gray/

Print ISSN: 1932-8346
Online ISSN: 1932-8354


Americas USD 360 / All other countries EURO 360 (electronic)
Americas USD 410 / All other countries EURO 410 (combined)

Published Issues

Each issue of the journal is available online. If your institution subscribes you will have access to the full text HTML and PDF of the journal. See "Do I have Online Access?
If your institution does not subscribe, each issue is available for purchase as a book or e-book.

Volume 3, Issue 4new
Linear Predictive Coding and the Internet Protocol
By Robert M. Gray (Stanford University)
Part 2: A History of Realtime Digital Speech on Packet Networks

Volume 3, Issue 3new
Linear Predictive Coding and the Internet Protocol
By Robert M. Gray (Stanford University)
Part 1: A Survey of Linear Predictive Coding

Volume 3, Issue 1-2
Statistical Methods and Models for Video-based Tracking, Modeling, and Recognition
By Rama Chellappa (University of Maryland, College Park), Aswin C. Sankaranarayanan (Rice University), Ashok Veeraraghavan (Mitsubishi Electric Research Laboratory) and Pavan Turaga (University of Maryland, College Park)

Volume 2, Issue 4
Multiple Reference Motion Compensation: A Tutorial Introduction and Survey
By Athanasios Leontaris (Dolby Laboratories), Pamela C. Cosman (University of California, San Diego), and Alexis M. Tourapis (Dolby Laboratories)

Volume 2, Issue 3
Image Wavelet Coding: Part II of Set Partition Coding and Image Wavelet Coding Systems
By William A. Pearlman (Rensselaer Polytechnic Institute) and Amir Said (HP Labs)

Volume 2, Issue 2
Set Partition Coding: Part I of Set Partition Coding and Image Wavelet Coding Systems
By William A. Pearlman (Rensselaer Polytechnic Institute) and Amir Said (HP Labs)

Volume 2, Issue 1
An Introduction to Frames
By Jelena Kovacevic and Amina Chebira (CMU)

Volume 1, Issue 4
Rethinking Biased Estimation: Improving Maximum Likelihood and the Cramér-Rao Bound
By Yonina Eldar (Technion)

Volume 1, Issue 3
The Application of Hidden Markov Models in Speech Recognition
By Mark Gales and Steve Young (University of Cambridge)

Volume 1, Issue 1-2free
Introduction to Digital Speech Processing
By Lawrence R. Rabiner (Rutgers and UC Santa Barbara) and Ronald W. Schafer (HP Labs)


 

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