Adaptive digital signal processing Java teaching tool

Harteneck, M. and Stewart, R.W. (2001) Adaptive digital signal processing Java teaching tool. IEEE Transactions on Education, 44 (2). pp. 200-201. ISSN 0018-9359 (https://doi.org/10.1109/13.925850)

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Abstract

This publication presents a JAVA program for teaching the rudiments of adaptive digital signal processing (DSP) algorithms and techniques. Adaptive DSP is on of the most important areas of signal processsing, and provides the core algorithmic means to implement applications ranging from mobile telephone speech coding, to noise cancellation, to communication channel equalization. Over the last 30 years adaptive digital signal processing has progressed from being a strictly graduate level advanced class in signal processing theory to a topic that is part of the core curriculum for many undergraduate signal processing classes. The JAVA applet presented in this publication has been devised for students to use in combination with lecture notes and/or one of the recognised textbooks such that they can quickly and conveniently simulate algorithms such as the LMS (least mean squares), RLS (recursive least squares) and so on in a variety of applications without requiring to write programs or scripts or using any special purpose software. By the very nature of the JAVA code therefore, the applet can be run from any browser, even over a low bandwidth modem connection.

ORCID iDs

Harteneck, M. and Stewart, R.W. ORCID logoORCID: https://orcid.org/0000-0002-7779-8597;
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