Jump to ContentJump to Main Navigation
Machine Learning for Signal Processing – Data Science, Algorithms, and Computational Statistics - Oxford Scholarship Online
Users without a subscription are not able to see the full content.

Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics

Max A. Little

Abstract

Digital signal processing (DSP) is one of the ‘foundational’ engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relative newcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance and autonomous car navigation. Statistical machine learning exploits the analogy between intelli ... More

Keywords: Artificial intelligence, machine learning, signal processing, applied mathematics, engineering

Bibliographic Information

Print publication date: 2019 Print ISBN-13: 9780198714934
Published to Oxford Scholarship Online: October 2019 DOI:10.1093/oso/9780198714934.001.0001

Authors

Affiliations are at time of print publication.

Max A. Little, author
Professor of Mathematics, Aston University, Birmingham