Publications

Browse Publications Total # of Publications: 223

Filter: estimation

# of Publications: 43
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Quantization, Channel Compensation, and Optimal Energy Allocation for Estimation in Sensor Networks
X. Sun and E. J. Coyle, "Quantization, Channel Compensation, and Optimal Energy Allocation for Estimation in Sensor Networks" ACM Transactions on Sensor Networks, Vol. 8, No. 2, May 2011.
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In clustered networks of wireless sensors, each sensor collects noisy observations of the...

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Distributed Iterative Quantization for Interference Characterization in Wireless Networks
V. Kapnadak and E. J. Coyle, "Distributed Iterative Quantization for Interference Characterization in Wireless Networks,” IEEE Int’l Conference on Communications (ICC 2010), Cape Town, South Africa, May 23-27, 2010.
Optimal Energy Allocation for Estimation in Wireless Sensor Networks
X. Sun and E. J. Coyle, "Optimal Energy Allocation for Estimation in Wireless Sensor Networks,” IEEE Int’l Conference on Communications (ICC 2010), Cape Town, South Africa, May 23-27, 2010.
Adaptive Quantization for Distributed Characterization of Interferers in Wireless Networks
V. Kapnadak, M. Senel, and E. J. Coyle, "Adaptive Quantization for Distributed Characterization of Interferers in Wireless Networks," SenSIP 2008 Special Issue of Digital Signal Processing, Dec. 2010.
Abstract
We consider the problem of estimating the distance to a device transmitting in the 2.4GHz ISMband...

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Quantization, Channel Compensation, and Energy Allocation for Estimation in Sensor Networks
X. Sun and E. J. Coyle, "Quantization, Channel Compensation, and Energy Allocation for Estimation in Sensor Networks,” 7th Intl. Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt 2009), Seoul, Korea, June 23-27, 2009.
Adaptive Quantization for Distributed Characterization of Interferers in Wireless Networks
V. Kapnadak, M. Senel, and E. J. Coyle, "Adaptive Quantization for Distributed Characterization of Interferers in Wireless Networks," SenSIP 2008 signal processingecial issue of Digital Signal Processing, to appear.
Distributed Incumbent Estimation for Cognitive Wireless Networks
V. A. Kapnadak, M. Senel, and E. J. Coyle, "Distributed Incumbent Estimation for Cognitive Wireless Networks," 2008 Conference on Information Science and Systems, Princeton, NJ, March 16-18, 2008.
Distributed Estimation for Cognitive Radio Networks – The Binary Symmetric Channel Case
M. Senel, V. Kapnadak, and E. J. Coyle, "Distributed Estimation for Cognitive Radio Networks – The Binary Symmetric Channel Case," Sensor, Signal and Information Processing Workshop (SenSIP 2008), Sedona, AZ, May 11-14, 2008. (Invited Paper)
Asymptotic Performance of Distributed Detection in Clustered Multi-Hop Wireless Sensor Networks
Q. Tian, V. Kapnadak, and E. J. Coyle, "Asymptotic Performance of Distributed Detection in Clustered Multi-Hop Wireless Sensor Networks," Proceedings of Globecom 2008, New Orleans, LA, Nov 30 – Dec 4, 2008.
A Kalman Filter Based Link Quality Estimation Scheme for Wireless Sensor Networks
M. Senel, K. Chintalapudi, D. Lal, A. Keshavarzian, and E. J. Coyle, “A Kalman Filter Based Link Quality Estimation Scheme for Wireless Sensor Networks,” Proceedings of IEEE GLOBECOM 2007, Washington DC, Nov. 26-30, 2007.
Optimal Distributed Estimation in Clustered Sensor Networks
Q.-J. Tian and E. J. Coyle, “Optimal Distributed Estimation in Clustered Sensor Networks,” Proceedings of the 2006 Int. Conf. on Acoustics, Speech, and Signal Processing, Toulouse, France, May 15-19, 2006.
Perceptual Issues in Music Pattern Recognition -- Complexity of Rhythm and Key Finding
I. Shmulevich, O. Yli Harja, E. J. Coyle, D. Povel, and K. Lemstrom, “Perceptual Issues in Music Pattern Recognition -- Complexity of Rhythm and Key Finding,” Computers and the Humanities, Vol. 35, No. 4, Kluwer Academic Publishers, pp. 23-35, 2001.
On the Use of Stack Filters and a Perception-based Error Criterion for the Enhancement of Color Images
J.-J. Huang and E. J. Coyle, “On the Use of Stack Filters and a Perception-based Error Criterion for the Enhancement of Color Images,” 10'th European Signal Processing Conference, Tampere, Finland, Sept. 5-8, 2000.
Fast Algorithms for Designing Stack Filters
J. Yoo, K. L. Fong, J.-J. Huang, E. J. Coyle, and G. B. Adams, “Fast Algorithms for Designing Stack Filters,” IEEE Transactions on Image Processing, Vol. 8, No. 10, pp. 1014-1028, August 1999.
Perceptually Optimal Restoration of Images with Stack Filters
J.-J. Huang and E. J. Coyle, “Perceptually Optimal Restoration of Images with Stack Filters,” Proceedings of the 1998 International Conference on Acoustics, Speech and Signal Processing, Seattle, WA, May 12-15, 1998.
Perceptually Optimal Restoration of Images with Stack Filters
J.-J. Huang and E. J. Coyle, “Perceptually Optimal Restoration of Images with Stack Filters,” Proceedings of the 1997 IEEE/EURASIP Workshop on Nonlinear Signal and Image Processing, Mackinac Island, MI, Sept. 7-10, 1997.
Dual Stack Filters and the Modified Difference of Estimates Approach to Edge Detection
J. Yoo, E. J. Coyle, and C. A. Bouman, “Dual Stack Filters and the Modified Difference of Estimates Approach to Edge Detection,” IEEE Trans. on Image Processing, vol. 6, no. 12, Dec. 1997.

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Arbitrary Topology Shape Reconstruction from Planar Cross Sections
C. Bajaj, E. J. Coyle, and K.-N. Lin, “Arbitrary Topology Shape Reconstruction from Planar Cross Sections,” CVGIP: Graphical Models and Image Processing, vol. 58, no. 6, Nov. 1996.
The Effect of Changing the Weights in the Mean Absolute Error Criterion Upon the Performance of Stack Filters
J.-J. Huang, E. J. Coyle, and G. B. Adams, “The Effect of Changing the Weights in the Mean Absolute Error Criterion Upon the Performance of Stack Filters,” Proceedings of the 1995 IEEE Workshop on Nonlinear Signal Processing, pp. 887-890, Halkidiki, Greece, June 1995.
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])
Duality and the Difference of Estimates Approach to Edge Detection
J. Yoo, C. A. Bouman, E. J. Delp, and E. J. Coyle, “Duality and the Difference of Estimates Approach to Edge Detection,” Proc. of the Canadian Conference on Electrical and Computer Engineering, pp. WM4.23.1-6, Toronto, Canada, Sept. 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.
On the LP which Finds a MMAE Stack Filter
M. Gabbouj and E. J. Coyle, “On the LP which Finds a MMAE Stack Filter,” IEEE Trans. on Acoustics, signal processingeech and Signal Processing, vol. ASsignal processing-39, no. 11, pp. 2419-2424, November 1991.
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.
Adaptive Stack Filtering under the Mean Absolute Error Criterion
J.-H. Lin, T. M. Sellke, and E. J. Coyle, “Adaptive Stack Filtering under the Mean Absolute Error Criterion,” IEEE Transactions on Acoustics, Speech & Signal Processing, vol. 38, no. 6, pp. 938-954, June 1990.
Minimum Mean Absolute Error Estimation over the Class of Generalized Stack Filters
J.-H. Lin and E. J. Coyle, “Minimum Mean Absolute Error Estimation over the Class of Generalized Stack Filters,” IEEE Trans. on Acoustics, signal processingeech, and Signal Processing, vol. ASsignal processing-38, no. 4, pp. 663-678, April 1990.
Adaptive Stack Filtering under the Mean Absolute Error Criterion
J.-H. Lin, T. M. Sellke, and E. J. Coyle, “Adaptive Stack Filtering under the Mean Absolute Error Criterion,” Proc. of the 1990 Symposium on Electronic Imaging: Science & Technology, Santa Clara, CA, Feb. 11-16, 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.
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.
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.
Rank-Order Operators and the Mean Absolute Error Criterion
E. J. Coyle, “Rank-Order Operators and the Mean Absolute Error Criterion,” IEEE Trans. on Acoustics, signal processingeech, and Signal Processing, vol. ASsignal processing-36, no. 1, pp. 63-76, Jan. 1988.
Stack Filters and the Mean Absolute Error Criterion
E. J. Coyle and J.-H. Lin, “Stack Filters and the Mean Absolute Error Criterion,” IEEE Trans. on Acoustics, signal processingeech, and Signal Processing, vol. ASsignal processing-36, no. 8, pp. 1244-1254, August 1988.
Minimum Mean Absolute Error Nonlinear Filtering
J.-H. Lin and E. J. Coyle, “Minimum Mean Absolute Error Nonlinear Filtering,” Proceedings of the 1988 IEEE Int. Conf. on Acoustics, signal processingeech, and Signal Processing, pp. 1439-1442, New York, NY, April 11-14, 1988.
Generalized Stack Filters and the Mean Absolute Error Criterion
J.-H. Lin and E. J. Coyle, “Generalized Stack Filters and the Mean Absolute Error Criterion,” Proceedings of the 1988 IEEE Int. Symposium on Circuits and Systems, pp. 2799-2802, Helsinki, Finland, June 7-9, 1988.
Adaptive Stack Filtering under the Mean Absolute Error Criterion
J.-H. Lin, T. M. Sellke, and E. J. Coyle, “Adaptive Stack Filtering under the Mean Absolute Error Criterion,” Proceedings of the Int. Symposium on Advances in Communications and Control Systems, pp. 392-405, Baton Rouge, LA, Oct. 19-21, 1988.
On the Optimality of Rank-Order Operations
E. J. Coyle, “On the Optimality of Rank-Order Operations,” Proceedings of the 1986 Int. Conf. on Acoustics, signal processingeech, and Signal Processing, pp. 2539-2542, Tokyo, Japan, April 1986.
On the Optimality of Multi-Level Rank Order Operations
E. J. Coyle, “On the Optimality of Multi-Level Rank Order Operations,” Proc. of the 1986 Conf. on Information Science and Systems, pp. 705-710, Princeton, NJ, March 19-21, 1986.
Choosing the Stack Filter that Minimizes the Mean Absolute Error Criterion
E. J. Coyle, “Choosing the Stack Filter that Minimizes the Mean Absolute Error Criterion,” Proceedings of the Twenty-fourth Allerton Conference on Communication, Control, and Computing, pp. 373-382, Monticello, IL, Oct. 1-3, 1986.
Modeling of English signal processingeech for the Design of a Distributed signal processingeech Understanding System
E. C. Bronson, E. J. Coyle, and L. J. Siegel, “Modeling of English signal processingeech for the Design of a Distributed signal processingeech Understanding System,” Proceedings of the 1984 Conference on Acoustics, signal processingeech, and Signal Processing, pp. 42.6.1-42.6.4, San Diego, CA, March 1984.