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Teaching Digital Filter Design Techniques Used In High Fidelity Audio
Author(s) -
Constantinos G. Panayiotou,
Yu Song,
Venkatraman Atti,
Andreas Spanias
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--13610
Subject(s) - computer science , high fidelity , speech coding , lossy compression , encoder , digital audio , digital signal processing , coding (social sciences) , speech recognition , audio signal flow , audio signal , multimedia , computer hardware , artificial intelligence , engineering , electrical engineering , statistics , mathematics , operating system
“Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Education” Abstract This paper presents web-based computer laboratory experiments and related assessment results for digital filter design modules that have recently been integrated into the ASU’s J-DSP tool. Filter design experiments (included in EEE407 DSP class) based on windowing, frequency-sampling, the Kaiserdesign, Min-Max design, and IIR analog filter approximations have been discussed in the context of perceptual and lossless audio coding. We complement these filter design techniques and the laboratory experiments with some high-fidelity audio applications involving, reverberation, echo generator, bass/treble control, and shelving/peaking digital filters. On-line evaluation forms to assess student learning experiences have been carefully designed in the form of an XML database.

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