Performance Evaluation and Real-Time Implementations of Subspace, Adaptive, and DFT Algorithms for Multi-Tone Detection



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Performance Evaluation and Real-Time Implementation of Subspace, Adaptive, and DFT Algorithms for Multi-tone Detection

Güner Arslan and F. Ayhan Sakarya
Department of Electronics and Communications Engineering
Yildiz Technical University, Istanbul, Turkey

Brian L. Evans and José Luis Pino
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley, CA 94720-1770

G. Arslan and F. A. Sakarya were supported by the Yildiz Technical University (YTÜ) Research Foundation under project number #94-B-04-03-01. B. L. Evans and J. L. Pino were supported by the Ptolemy project which is supported by ARPA, U.S. Air Force, Semiconductor Research Corporation, and various companies. The Ptolemy World Wide Web page is located at http://ptolemy.eecs.berkeley.edu. F. A. Sakarya is also with the Marmara Research Center of TÜ BI TAK, Gebze, Turkey.

Abstract:

We evaluate MUSIC, LMS, and the Goertzel algorithms for dual-tone multiple-frequency estimation. We rate their computational requirements, estimation errors, and their compliance with the CCITT Q.23 and Q.24 standards through MATLAB simulations and real-time implementations on the ADSP-2101 and Motorola 56001 processors.





Brian L. Evans, 211-105 Cory Hall, Berkeley, CA 94720-1772