Monson H. Hayes

Center for Signal and Image Processing | Georgia Institute of Technology | Atlanta, Georgia

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Contact Information

Monson H. Hayes
Georgia Institute of Technology
School of Electrical and Computer Engineering
Atlanta, GA 30332
404-462-8257
mhh3@gatech.edu

 

JOURNAL PAPERS

• M.H. Hayes, J.S. Lim, and A.V. Oppenheim, “Signal Reconstruction From Phase Or Magnitude,”  IEEE Trans. on Acoustics, Speech, Sig. Proc., vol. ASSP-28, no. 6, pp. 672-680, December 1980.
• V.T. Tom, T.F. Quatieri, M.H. Hayes, and J.H. McClellan, “Convergence Of Iterative Nonexpansive Signal Reconstruction Algorithms,” IEEE Trans. on Acoustics, Speech, Sig. Proc., vol. ASSP-29, no. 5, pp.1052-1058, October 1981.

• M.H. Hayes and J.H. McClellan, “Reducible Polynomials In More Than One Variable,” Proceedings of the IEEE, vol. 70, no. 2, pp. 197-198, Feb. 1982.

• A.V. Oppenheim, M.H. Hayes, and J.S. Lim, “Iterative Procedures For Signal Reconstruction From Fourier Transform Phase,” Optical Engineering, vol. 21, no. 1, pp. 122-127, February 1982.

• M.H. Hayes, “The Reconstruction Of A Multidimensional Sequence From The Phase Or Magnitude Of Its Fourier Transform,” IEEE Trans. on Acoustics, Speech, Sig. Proc., vol. ASSP-30, no. 2, pp. 140-154, April 1982.

Paper won the 1983 IEEE ASSP Senior Award (for the author of a paper of exceptional merit).

Reprinted in  “Selected Papers in Multidimensional Digital Signal Processing,” edited by the MDSP Committee of  the ASSP Society, IEEE Press, 1986.

• P.L. Van Hove, M.H. Hayes, J.S. Lim, and A.V. Oppenheim, “Signal Reconstruction From Signed Fourier Transform Magnitude,” IEEE Trans. on Acoustics, Speech, Sig. Proc., vol. ASSP-31, no. 5, pp. 1286-1293, Oct. 1983.

• M.H. Hayes and T.F. Quatieri, “Recursive Phase Retrieval Using Boundary Conditions,” Journal Optical Society of America, vol. 73, no. 11, pp. 1427-1433, Nov. 1983.

• M.H. Hayes and M.A. Clements, “An Efficient Algorithm for Computing Pisarenko's Harmonic Decomposition Using Levinson's Recursion,” IEEE Trans. on Acoustics, Speech, Sig. Proc., vol. ASSP-34, no. 3, pp. 485-491, June 1986.

• M.H. Hayes, “Inverse Problems: An Overview,” J. Soc. Instr. and Control Eng., vol. 15, no. 12, pp. 1089-1094, JAPAN, Dec. 1986, (invited paper).

• C.E. Morris, M.A. Richards, and M.H. Hayes, “An Iterative Deconvolution Algorithm With Quadratic Convergence,” Journal Optical Society of America: A, vol. 4, no 1, pp. 200-207, Jan. 1987.

• D.M. Wilkes and M.H. Hayes, “An Eigenvalue Recursion For Toeplitz Matrices,” IEEE Trans. on Acoustics, Speech, Sig. Proc., vol. ASSP-35, no. 6, pp. 907-909, June 1987.

• E. Karlsson and M.H. Hayes, “Least Squares ARMA Modeling Of Linear Time-Varying Systems: Lattice Filter Structures and Fast RLS Algorithms,” IEEE Trans. on Acoustics, Speech, Sig. Proc., vol. ASSP-35, no. 7, pp. 994-1014, July 1987.

• M.H. Hayes, D.M. Wilkes, and M.A. Clements, “Iterative Harmonic Decomposition Of Nonstationary Random Processes: Theory and Application To Spectral Line Tracking,” Mathematics in Signal Processing, T.S. Durrani et. al., Editors, pp. 105-119, Clarendon Press, Oxford, 1987.

• C.E. Morris, M.A. Richards, and M.H. Hayes, “Fast Restoration Of Linearly Distorted Signals,” IEEE Trans. on Acoustics, Speech, and Sig. Proc., vol. ASSP-36, no. 7, pp. 1017-1025, July 1988.

• D.M. Wilkes and M.H. Hayes, “Block Toeplitz Approximation,” Signal Processing, vol. 15, no. 3, pp. 303-313, October 1988.

• D.S. Mazel, J.S. Geronimo, and M.H. Hayes, “On Geometric Sequences Of Reflection Coefficients,”  IEEE Trans. on Acoustics, Speech, and Sig. Proc., vol. 38, no. 10, pp. 1810-1812, October, 1990.

• W.S. Kim and M.H. Hayes, “Phase Retrieval Using Two Fourier Transform Intensities,” Journal Optical Society of America: A, Special Issue on Signal Recovery. vol. 7, no. 3, pp. 441-449, March, 1990.

• D.S. Mazel and M.H. Hayes, “Extended Properties Of The Levinson Recursion and Lattice Filters,”  IEEE Trans. on Circuits and Systems, vol. 38, no. 5, pp 539-542, May 1991.

• D.M. Wilkes, S.D. Morgera, F. Noor, and M.H. Hayes, “A Hermitian Toeplitz Matrix Is Unitarily Similar To A Real Toeplitz-Plus-Hankel Matrix,” IEEE Trans. on Signal Processing, vol. 39, pp. 2146-2148, Sept. 1991.

• D.S. Mazel and M.H. Hayes, “Using Iterated Function Systems To Model Discrete Sequences,” IEEE Trans. on Signal Processing, vol. 40, no. 7, pp. 1724-1734, July, 1992.

• W. Armin Kittel and M.H. Hayes, “Symbolic Representation Of Process Monitoring Signals,” Signal Processing, vol. 29, no. 1, pp. 93-106, October 1992.

• W.S. Kim, M.H. Hayes “Phase Retrieval Using A Window Function,” IEEE Trans. on Signal Processing, vol. 41, no. 3, pp. 1409-1412, March 1993.

• G. Vines and M.H. Hayes, “Nonlinear Address Maps In A One-Dimensional Fractal Model,” IEEE Trans. on Signal Processing, vol. 41, pp. 1721-1724, April 1993.

• F.A. Sakarya and M.H. Hayes, “A Subspace Rotation-Based Technique For Estimating 2-D Arrival Angles Using Nonlinear Array Configurations,” IEEE Trans. Acoust., Speech, Sig. Proc., vol. ASSP-42, no. 2, pp. 409-411, Feb. 1994.

• M.H. Hayes, “Iterated Function Systems for Image and Video Coding,” Journal on Communications, vol. XLV, pp. 11-19, June 1994.

• A. Peng and M. Hayes, “Iterative human facial expression modeling,” Image Analysis Applications and Computer Graphics, Lecture Notes in Computer Science, 1024:479-486, 1995.

• F.A. Sakarya and M.H. Hayes, “Estimating 2-D DOA Angles Using Nonlinear Array Configurations,” IEEE Trans. on Signal Processing, vol. 43, no. 9, pp. 2212-2216, Sept. 1995.

• H. Aydinoglu and M.H. Hayes, “Source Coding of Stereo Pairs,” in Intelligent Methods in Signal Processing and Communications, Birkhauser, Boston, 1997 (invited paper).

• H. Aydinoglu and M.H. Hayes, “Stereo Image Coding: A Projection Approach,” IEEE Trans. on Image Processing, vol. 7, no. 4, pp. 507-516, April 1998.

• J.R. Price and M.H. Hayes, “Resampling and Reconstruction with Fractal Interpolation Functions”, IEEE Signal Processing Letters, vol. 5, no. 9, pp. 228-230, September 1998.

• M.H. Hayes and M. Mayercik, “Distance Learning Across the Atlantic,” Special CD issue of the IEEE Trans. on Education, Dec. 2000.

• M.H. Hayes and M. Jamrozik, “Internet Distance Learning – The Problems, The Pitfalls, And The Future,” IEEE Transactions on VLSI Signal Processing, vol. 29, no. 1/2, pp. 63-69,  August/September 2001.

• B.K. Gunturk, A.U. Batur, Y. Altunbasak, M.H. Hayes, and R.M. Mersereau. "Eigenface-Domain Super-Resolution for Face Recognition," IEEE Trans. Image Processing, vol. 12, No. 5, pp. 597-606, May 2003.

• S. Lee and M.H. Hayes, “Properties of the Singular Value Decomposition for Efficient Data Clustering,” IEEE Signal Processing Letters, vol. 11, no. 9, pp. 1-5, Sept. 2004.
  
  
• P. Hong, J.R. Jackson, D.B. Williams, D.V. Anderson, M.H. Hayes, T.P. Barnwell, and R.W. Schafer, “DSP for Practicing Engineers: On-Line DSP Educations,” IEEE Trans. On Education, vol 47, pp. 301-310, June 2004.

• A.U. Batur and M.H. Hayes. "Segmented Linear Subspaces for Illumination-Robust Face Recognition," International Journal of Computer Vision, vol. 57(1), pp. 49-66, 2004.

• J. Tian and M.H. Hayes, “Reconstruction of Irregularly Sampled Interferograms in Fourier Transform Spectrometry with Unknown Sampling Locations”, Optical Engineering, vol. 44, 048201, April 2005.

• A. Batur and M.H. Hayes, “Adaptive Active Appearance Models,” IEEE Trans. Image Processing, vol. 14, no. 11, pp. 1707-1721, Nov. 2005.

• G. Alregib, M. Hayes, E. Moore, and D. Williams, “Using Technology and Tools to Enhance Distributed Engineering Education,” (Invited Paper) Proceedings of IEEE, vol. 96, vol. 6, pp. 951-969, June 2008.

• M. Hayes and J. Treichler, "Adaptive Filtering," (Invited Paper), Signal Processing Magazine, vol. 25, no. 6, p. 169-172, Nov. 2008

• E. Moore, T. Utschig, K. Haas, B. Klein, P.D. Yoder, Y. Zhang, M. Hayes, “Tablet PC Technology for the Enhancement of Synchronous Distributed Education,” IEEE Trans. On Learning Technologies, vol. 1, no. 2, pp. 105-116, 2008.

• J. Im, J. Jeon, M. Hayes, and J. Paik, “Single Image-Based Ghost-Free High Dynamic Range Imaging Using Local Histogram Stretching and Spatially-Adaptive Denoising,” IEEE Trans. on Consumer Electronics, vol. 57, no. 4, Nov. 2011, p. 1478-1484.
  
  
• S. Lee, J. Lee, M.H. Hayes, J. Paik, "Adaptive Background Generation for Automatic Detection of Initial Object Region in Multiple Color-Filter Aperture Camera-Based Surveillance System," IEEE Trans. on Consumer Electronics, vol. 58, no. 1, Feb. 2012, p. 104-110.
  
  
• Yoon, S. Kim, D. Kim, M.H. Hayes, J. Paik, "Adaptive Defogging with Color Correction in the HSV Color Space for Consumer Surveillance System," IEEE Trans. on Consumer Electronics, vol. 58, no. 1, Feb. 2012, p. 111-116.
  
  
• A. Borkar, M.H. Hayes, and M. Smith, “A Novel Framework for Evaluating Lane Detection Systems“, IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 1, March 2012, p. 365-374.
  

• S. Kim, E. Lee, M.H. Hayes, and J. Paik, "Multifocusing and Depth Estimation Using a Color Shift Model-Based Computational Camera," IEEE Transactions on Image Processing, vol. 21, Issue 9, pp. 4152-4166, Sept. 2012.
  
  
• S. Lee, M. Hayes, and J. Paik, "Modified Particle Filtering for Unstable Handheld Camera-Based Object Tracking," IEEK Transactions Smart Processing and Computing, vol. 1, no. 2, p. 78-87, Oct. 2012.

• S. Vemulapalli and M.H. Hayes, “Audio-Video Based Handwritten Mathematical Content Recognition in Classroom Videos,” submitted to Integrated Computer-Aided Engineering, (Under Review), April 2012.
  
  
• S. Lee, M. Hayes, and J. Paik, "Distance Estimation Using a Single Computational Camera with Dual Off-Axis Color Filtered Apertures," submitted to Optics Express, (Accepted with minor revision), March 2013.

Research Centers

• CS3
• CSIP

 

Contact

• Monson Hayes

© 2008 Monson H. Hayes