This paper describes a new programming language, designed to facilitate modelling and testing of DSP algorithms. The unique features of the language are summarized and a comparison to available alternatives is given. Practical examples in noise reduction, artificial reverberation algorithms, and reconstruction of signals distorted by digital clipping are presented.

Authors: Kalliris, George; Papanikolaou, George; Longley, Lester
Affiliations: Aristotle University of Thessaloniki, Greece ; Zola Technologies Inc., Atlanta, GA(See document for exact affiliation information.)
AES Convention: 94 (March 1993) Paper Number: 3514
Publication Date: March 1, 1993
Subject: Digital Signal Processing

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