A Fast Modified CORDIC - Implementation of Radial Basis Neural Networks

Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology

Volumn 20, Issue 3, 1998, Pages 211-218

  Meyer Base U ^a,b,c,d   Meyer Base A ^a,b,e   Mellott, J ^a,f,g   Taylor, F ^a,h,i,j,k  

^a University of Florida   (United States)

^b DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^c Inst of Brain Research   (Germany)

^d University of Gainesville   (United States)

^e Federal Institute of Neurobiology   (Germany)

^f UNIVERSITY OF FLORIDA   (United States)

^g Athena Group Inc   (United States)

^h UNIVERSITY OF COLORADO   (United States)

ⁱ UNIVERSITY OF TEXAS AT EL PASO   (United States)

^j University of Texas ^*

^k Athena Group Inc   (Greece)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ANALOG PROCESSORS; DESIGN METHODOLOGY; REAL-TIME BANDWIDTH; THERMAL MANAGEMENT;

ALGORITHMS; BANDWIDTH; CALCULATIONS; FIELD PROGRAMMABLE GATE ARRAYS; OPTIMIZATION; PROGRAM PROCESSORS; REAL TIME SYSTEMS; SPEECH RECOGNITION; DIGITAL COMPUTERS; NEURAL NETWORKS;

RADIAL BASIS FUNCTION NETWORKS; DIGITAL SIGNAL PROCESSING;

COORDINATE ROTATION DIGITAL COMPUTERS (CORDIC); RADIAL BASIS NEURAL NETWORKS (RBNN);

EID: 0032313031     PISSN: 13875485     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (16)

1. S. Haykin, Neural Networks, Maxwell Macmillan Publishing Company, 1994.
2. S. Botros and C. Atkeson, "Generalization properties of radial basis functions," Touretky's Connectionist Summer School, Vol. 3, No. 6, pp. 707-713, 1990.
3. M. Musavi and W. Ahmed, "On the training of radial basis function classifiers," Neural Networks, Vol. 5, No. 10, pp. 595-603, 1992.
4. A. Saha and J. Keeler, "Algorithms for better representations and faster learning in radial basis function networks," Touretky's Connectionist Summer School, Vol. 3, No. 6, pp. 482-489, 1990.
5. P. Ienne, T. Cornu, and G. Kühn, "Special-purpose digital hardware for neural networks: An architectural survey," Journal of VLSI Signal Processing Systems, No. 13, pp. 5-25, 1996.
6. R. Kuppuswamy, L. Theogarajan, and L.A. Akers "A programmable Gaussian node," Proceedings of the IEEE Joint International Conference on Neural Networks, No. 6, pp. 880-885, 1996.
7. J.E. Voider, "The CORDIC trigonometric computing technique," IRE Transactions on Electronics Computers, pp. 330-334, Sept. 1959.
8. J.S. Walther, "A unified algorithm for elementary functions," Spring Joint Computer Conference, pp. 379-385, May 1971.
9. H. Schmid, Decimal Computation, John Wiley & Sons, 1974.
10. X. Hu, R.G. Harber, and S.C. Bass, "Expanding the range of convergence of the CORDIC algorithm," IEEE Transactions on Computers, pp. 13-21, Jan. 1991.
11. S. Kenne and T. Häuser, "Entwicklung einer vollparallelen neuronalen CORDIC-architektur mit Flies̈komma-signalprozessor und programmierbaren gate arrays," Diplomarbeit DT 570, Institut für Datentechnik, 1993.
12. U. Meyer-Bäse, "Universeller Hilbert-Abtastempfänger mit CORDIC-demodulation," Funkuhren Zeitsignale Normalfrequenzen, pp. 65-81, 1993.
13. YH. Hu, "The quantization effects of the CORDIC-algorithm," IEEE Transactions on Signal Processing, pp. 834-844, April 1992.
14. M. Soderstrand, W. Jenkins, G. Jullien, and F. Taylor, Residue Number System Arithmetic: Modern Applications in Digital Signal Processing, IEEE Press, 1986.
15. J. Mellott, M. Lewis, F. Taylor, and P. Coffield, "ASAP - A 2D DFT VLSI processor and architecture," Proc. IEEE ICASSP, Atlanta, 1996.
16. J. Mellott, J. Smith, and F. Taylor, "The Gauss machine - A Galois-enhanced quadratic residue number system sysotlic array," Proc. IEEE 11th Symposium on Computer Arithmetic, Windsor, Ontario, pp. 156-162, 1993.