DocumentCode :
1497056
Title :
Adaptive signal processing JAVA applet
Author :
Harteneck, M. ; Stewart, R.W.
Author_Institution :
Siemens AG, Munich, Germany
Volume :
44
Issue :
2
fYear :
2001
fDate :
5/1/2001 12:00:00 AM
Abstract :
This publication presents a JAVA program for teaching the rudiments of adaptive digital signal processing (DSP) algorithms and techniques. Adaptive DSP is one of the most important areas of signal processing, 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 them 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
Keywords :
Java; adaptive signal processing; computer aided instruction; teaching; telecommunication engineering education; JAVA applet; JAVA code; JAVA program; adaptive digital signal processing; communication channel equalization; core curriculum; graduate level advanced class; least mean squares; low bandwidth modem connection; mobile telephone speech coding; noise cancellation; recursive least squares; undergraduate signal processing classes; Adaptive equalizers; Adaptive signal processing; Communication channels; Digital signal processing; Education; Java; Noise cancellation; Signal processing algorithms; Speech coding; Telephony;
fLanguage :
English
Journal_Title :
Education, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9359
Type :
jour
DOI :
10.1109/13.925850
Filename :
925850
Link To Document :
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