Academic Press Library in signal processing : Volume 1 : Signal Processing Theory and Machine Learning

Let us flash back to the 1970s when the editors-in-chief of this e-reference were graduate students. One of the time-honored traditions then was to visit the libraries several times a week to keep track of the latest research findings. After your advisor and teachers, the librarians were your best friends. We visited the engineering and mathematics libraries of our Universities every Friday afternoon and poured over the IEEE Transactions, Annals of Statistics, the Journal of Royal Statistical Society, Biometrika, and other journals so that we could keep track of the recent results published in these journals. Another ritual that was part of these outings was to take sufficient number of coins so that papers of interest could be xeroxed. As there was no Internet, one would often request copies of reprints from authors by mailing postcards and most authors would oblige. Our generation maintained thick folders of hardcopies of papers. Prof. Azriel Rosenfeld (one of RC’s mentors) maintained a library of over 30,000 papers going back to the early 1950s!

This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory.

With this reference source you will:

• Quickly grasp a new area of research
• Understand the underlying principles of a topic and its application
• Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved

• Quick tutorial reviews of important and emerging topics of research in machine learning
• Presents core principles in signal processing theory and shows their applications
• Reference content on core principles, technologies, algorithms and applications
• Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge
• Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic