Publications

Browse Publications Total # of Publications: 223

Filter: classification

# of Publications: 27
Showing 1 - 27 of 27
Page 1
K-Nearest-Neighbor Analysis of Received Signal Strength Distance Estimation Across Environments
A. Ault, X. Zhong, and E. J. Coyle, “K-Nearest-Neighbor Analysis of Received Signal Strength Distance Estimation Across Environments,” Proceedings of the First Workshop on Wireless Network Measurements (WiNMee 2005), Trentino, Italy, April 3, 2005.
Abstract
Prior studies investigating the use of non-parametric models for ranging and localization via...

Topic: 

Type: 

Year: 

Perceptual Issues in Music Pattern Recognition -- Complexity of Rhythm and Key Finding
I. Shmulevich, O. Yli-Harja, E. J. Coyle, D.-J. Povel, and K. Lemstrom, “Perceptual Issues in Music Pattern Recognition -- Complexity of Rhythm and Key Finding,” Proceedings of the 1999 IEEE/EURASIP Workshop on Nonlinear Signal and Image Processing, Antalya, Turkey, June 20-23, 1999.
Establishing the Tonal Context for Musical Pattern Recognition
I. Shmulevich and E. J. Coyle, “Establishing the Tonal Context for Musical Pattern Recognition,” Proceedings of the 1998 International Conference on Acoustics, Speech and Signal Processing, Seattle, WA, May 12-15, 1998.
A System for Machine Recognition of Music Patterns
E. J. Coyle and I. Shmulevich, “A System for Machine Recognition of Music Patterns,” Proceedings of the 1998 International Conference on Acoustics, Speech and Signal Processing, Seattle, WA, May 12-15, 1998.
The Use of Recursive Median Filters to Establish the Tonal Context in Music
I. Shmulevich and E. J. Coyle, “The Use of Recursive Median Filters to Establish the Tonal Context in Music,” Proceedings of the 1997 IEEE/EURASIP Workshop on Nonlinear Signal and Image Processing, Mackinac Island, MI, Sept. 7-10, 1997.
Establishing the Tonal Context for Musical Pattern Recognition
I. Shmulevich and E. J. Coyle, “Establishing the Tonal Context for Musical Pattern Recognition,” 1997 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, Oct. 19-22, 1997.
Optimal Stack Filtering and the Estimation and Structural Approaches to Image Processing
E. J. Coyle, J.-H. Lin, and M. Gabbouj, “Optimal Stack Filtering and the Estimation and Structural Approaches to Image Processing,” Chapter appearing in Digital Image Processing, edited by Rama Chellappa, pp. 230-259, IEEE Computer Society Press, 1992. (reprint of Serial Journal Article [13])
On the Existence and Design of the Best Stack Filter Based Associative Memory
P.-T. Yu and E. J. Coyle, “On the Existence and Design of the Best Stack Filter Based Associative Memory,” IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, vol. 39, no. 3, pp. 171-184, March 1992.
An Overview of Median and Stack Filtering
M. Gabbouj, E. J. Coyle, and N. C. Gallagher, “An Overview of Median and Stack Filtering,” Circuits, Systems, and Signal Processing, vol. 11, no. 1, pp. 7-45, January 1992.
Convergence Behavior and Root Signal Sets of Stack Filters
M. Gabbouj, P.-T. Yu, and E. J. Coyle, “Convergence Behavior and Root Signal Sets of Stack Filters,” Circuits, Systems, and Signal Processing, vol. 11, no. 1, pp. 171-193, January 1992.
The Classification and Associative Memory Capability of Stack Filters
P.-T. Yu and E. J. Coyle, “The Classification and Associative Memory Capability of Stack Filters,” IEEE Trans. on Signal Processing, vol. 40, pp. 2483-2497, Oct. 1992.
Minimum Mean Absolute Error Stack Filtering with Structural Constraints and Goals
M. Gabbouj and E. J. Coyle, “Minimum Mean Absolute Error Stack Filtering with Structural Constraints and Goals,” IEEE Trans. on Acoustics, signal processingeech and Signal Processing, vol. ASsignal processing-38, no. 6, pp. 955-968, June 1990.
Convergence Behavior and N-Roots of Stack Filters
P.-T. Yu and E. J. Coyle, “Convergence Behavior and N-Roots of Stack Filters,'” IEEE Trans. on Acoustics, Speech and Signal Processing, vol. 38, no. 9, pp. 1529-1544, September 1990.
Minimum Mean Absolute Error Stack Filtering with Structural Constraints and Goals
M. Gabbouj and E. J. Coyle, “Minimum Mean Absolute Error Stack Filtering with Structural Constraints and Goals,” IEEE Trans. on Acoustics, signal processingeech and Signal Processing, vol. ASsignal processing-38, no. 6, pp. 955-968, June 1990.
On the Existence and Design of the Best Stack Filter Based Associative Memory
P.-T. Yu and E. J. Coyle, "On the Existence and Design of the Best Stack Filter Based Associative Memory,” Proc. of the 1990 Int. Symposium on Circuits and Systems, pp. 2495-2499, New Orleans, LA, May 1-3, 1990.
Stack Filters and Neural Networks
E. J. Coyle and N. C. Gallagher, “Stack Filters and Neural Networks,” Proceedings of the 1989 Int. Symposium on Circuits and Systems, pp. 995-998, Portland, OR, May 9-11, 1989.
Design of Optimal Stack Filters with Structural Constraints under the MAE Criterion
M. Gabbouj and E. J. Coyle, “Design of Optimal Stack Filters with Structural Constraints under the MAE Criterion,” Proc. of the 32nd Midwest Symposium on Circuits and Systems, pp. 55-58, Urbana, IL, August 14-16, 1989.
Optimal Stack Filtering and the Estimation and Structural Approaches to Image Processing
E. J. Coyle, J.-H. Lin, and M. Gabbouj, “Optimal Stack Filtering and the Estimation and Structural Approaches to Image Processing,” IEEE Trans. on Acoustics, signal processingeech and Signal Processing, vol. ASsignal processing-37, no. 12, pp. 2037-2066, December 1989.
Stack Filters and Neural Networks
E. J. Coyle and N. C. Gallagher, “Stack Filters and Neural Networks,” Proceedings of the 1989 Int. Symposium on Circuits and Systems, pp. 995-998, Portland, OR, May 9-11, 1989.
Optimal Stack Filtering and the Estimation and Structural Approaches to Image Processing
E. J. Coyle, J.-H. Lin, and M. Gabbouj, “Optimal Stack Filtering and the Estimation and Structural Approaches to Image Processing,” Proceedings of the Sixth Workshop on Multidimensional Signal Processing, pp. 193, Pacific Grove, CA, Sept. 6-8, 1989.
The Classification and Associative Memory Capability of Stack Filters
P.-T. Yu and E. J. Coyle, “The Classification and Associative Memory Capability of Stack Filters,” Proceedings of the 1989 Allerton Conf on Communication, Control, and Computing, pp. 981-990, Monticello, IL, Sept. 27-29, 1989.
Stack Filters and Neural Networks
E. J. Coyle and N. C. Gallagher, "Stack Filters and Neural Networks," presented at the Scientific Computing and Automation Conference, Philadelphia, PA, Oct. 11-13, 1989.
Some Convergence Properties of Median Filters
P. D. Wendt, E. J. Coyle, and N. C. Gallagher, “Some Convergence Properties of Median Filters,” IEEE Trans. on Circuits and Systems, vol. CAS-33, no. 3, pp. 276-286, March 1986.
Root Properties and Convergence Rates of Median Filters
J. P. Fitch, E. J. Coyle, and N. C. Gallagher, "Root Properties and Convergence Rates of Median Filters," IEEE Trans. on Acoustics Speech and Signal Processing,” vol. ASSP-33, no. 1, pp. 230-240, Feb. 1985.
Stack Filters: Their Definition and Some Initial Properties
P. D. Wendt, E. J. Coyle, and N. C. Gallagher, “Stack Filters: Their Definition and Some Initial Properties,” Proceedings of the 1985 Hopkins Conference on Information Science and Systems, pp. 378-383, Baltimore, MD, March 1985.
A Limit on the Number of Passes to a Root for Median Filters
P. D. Wendt, E. J. Coyle, and N. C. Gallagher, “A Limit on the Number of Passes to a Root for Median Filters,” Proceedings of the 1984 Princeton Conference on Info. Science and Systems, pp. 378-381, Princeton, NJ, March 1984.
Root Properties and Convergence Rates of Median Filters
J. P. Fitch, E. J. Coyle, and N. C. Gallagher, “Root Properties and Convergence Rates of Median Filters,” Proceedings of the Twenty-First Allerton Conference on Communication, Control, and Computing, pp. 1024-1033, Monticello, IL, Oct., 1983.