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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

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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.

    Item type: Article
    ID code: 7077
    Keywords: java, adaptive signal processing, computer aided instruction, teaching, telecommunications, engineering education, Electrical engineering. Electronics Nuclear engineering, Education, Electrical and Electronic Engineering
    Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Unknown Department
    Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 30 Oct 2008
    Last modified: 05 Sep 2014 01:07
    URI: http://strathprints.strath.ac.uk/id/eprint/7077

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