Publications of Yoram Bresler

Listed in reverse chronological order in each of seven categories below:

Tomography

    JOURNAL ARTICLES

  1. S. Levy, D. Adam, and Y. Bresler, "Electro-Magnetic Impedance Tomography (EMIT): a New Method for Impedance Imaging,"  IEEE Trans. Med. Imaging , vol. 21, no. 6, pp. 676--87, June 2002. PDF
  2. S. Basu and Y. Bresler, "O(N^3 log N) backprojection algorithm for the 3D Radon transform," IEEE Trans. Medical Imaging, Vol. 21, No. 2 , pp. 76-88, Feb 2002. PDF
  3. S. Basu and Y. Bresler, "Error analysis and performance optimization in fast hierarchical backprojection algorihtms," IEEE Trans. Image Processing, vol. 10, no. 7, pp. 1103 -1117, July 2001.  PDF
  4. S. Basu and Y. Bresler, "An O(n^2\log n) filtered backprojection reconstruction algorithm for tomography," IEEE Trans. Image Processing, vol. 9, pp. 1760--1773, Oct. 2000. PDF
  5. Amir Boag, Yoram Bresler, and Eric Michielssen, "A multilvel domain decomposition algorithm for fast O(N^2\log N) reprojection of tomographic images," IEEE Trans. Image Processing, vol. 9, pp. 1573--1582, Sep. 2000. PDF
  6. S.K. Basu and Y. Bresler, "Uniqueness of tomography with unknown view angles," IEEE Trans. Image Processing, vol. 9, pp. 1094-1106, June 2000. PDF
  7. S.K. Basu and Y. Bresler, "Feasibility of tomography with unknown view angles," IEEE Trans. Image Processing, vol. 9, pp. 1107-1122, June 2000.  PDF
  8. A. H. Delaney and Y. Bresler, ``Globally convergent edge-prserving regularized reconstruction: an application to limited-angle tomography,'' IEEE Trans. Image Processing, Feb. 1998.PDF
  9. A. H. Delaney and Y. Bresler, ``A fast and accurate iterative reconstruction algorithm for parallel-beam tomography,'' IEEE Trans. Image Processing, pp. 740--753, May 1996. PDF
  10. A. H. Delaney and Y. Bresler, ``Multiresolution tomographic reconstruction using wavelets,'' IEEE Trans. Image Processing, pp. 799--814, June 1995. PDF
  11. N. P. Willis and Y. Bresler, ``Optimal scan design for time varying tomographic imaging {II}: Efficient design and experimental validation,'' IEEE Trans. Image Processing, pp. 654--666, May 1995. PDF
  12. N. P. Willis and Y. Bresler, ``Optimal scan design for time varying tomographic imaging {I}: Theoretical analysis and fundamental limitations,'' IEEE Trans. Image Processing, pp. 642--653, May 1995. PDF
  13. T. D. Raymund, Y. Bresler, and R. E. Daniell, ``Model-assisted ionospheric tomography: A new algorithm,'' Radio Science, vol. 29, pp. 1493--1512, Nov. 1994.
  14. Y. Bresler, J. Fessler, and A. Macovski, ``A Bayesian approach to reconstruction from incomplete projections of a multiple object 3Ddomain,'' IEEE Trans. Pattern Anal. Machine Intell., vol. 11, pp. 840--858, Aug. 1989.
  15. Y. Bresler, J. Fessler, and A. Macovski, ``Model based estimation techniques for 3-D reconstruction from projections,'' Machine Vision and Applications, vol. 1, no. 2, pp. 115--126, 1988.
  16. Y. Bresler and A. Macovski, ``3-D reconstruction from projections with incomplete and noisy data by object estimation,'' IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, pp. 1139--1152, Aug. 1987.

    CONFERENCES

  1. A.K. George and Y. Bresler, ``Fast Decimation in Angle Backprojeciton Algorithms for Tomography,'' 2nd SIAM Conference on Imaging Science, Salt Lake City, pp. 25, May 2004.
  2. Y. Bresler and J. Brokish,  "A hierarchical algorithm for fast backprojection in helical cone-beam tomography," in  Proc. 2nd IEEE Int. Symp. Biomedical Imaging, ISBI-2002, Washington DC, pp. 1420-1423, April 2004.PDF
  3. Y. Bresler and J. Brokish, ``Fast hierarchical backprojection for helical cone-beam tomography,'' Proc. International Conference on Image Processing, ICIP-2003, Barcelona, Spain, vol.~2, pp. 815--818, Sept. 2003. PDF
  4. S. Xiao, Y. Bresler, and D.C. Munson, ``Fast Feldkamp algorithm for cone-beam computer tomography,'' Proc. International Conference on Image Processing, ICIP-2003, Barcelona, Spain, vol.~2, pp. 819--822, Sept. 2003. PDF
  5. S. Xiao, Y. Bresler, and D.C. Munson, ``O(N^2\log N) native fan-beam tomographic reconstruction,'' in  Proc. 1st IEEE Int. Symp. Biomedical Imaging, ISBI-2002, Washington, DC, pp. 824--827, July 2002. PDF
  6. S. Xiao, D.C. Munson, and Y. Bresler, "An N^2 logN back-projection algorithm for SAR image formation,"  Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 3 - 7, Nov. 2000. PDF
  7. Amir Boag, Yoram Besler, and Eric Michielssen, ``A multilvel domain decomposition algorithm for fast O(N^2\log N) reprojection of tomographic images,'' in Proc. IEEE Int. Conf. Image Proc., ICIP, Vancouver, Sept. 2000.
  8. S. Basu and Y. Bresler, ``Feasilibity of tomography with unknown view angles,'' in Proc. IEEE Int. Conf. Image Proc., ICIP , vol. 2, pp. 15--19, Chicago, Oct. 1998.
  9. S. Basu and Y. Bresler, ``Tomography with Unknown View Angles,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Munich, Germany), Vol. 4, pp. 2849-2852, Apr. 1997.
  10. A. H. Delaney and Y. Bresler, ``A fast iterative reconstruction algorithm,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., vol. 4, (Detroit,MI), pp. 2295--2298, {IEEE}, May 1995.
  11. Y. Bresler, ``Some recent results in tomography,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., vol. 5, (Detroit,MI), pp. 2903--2906, {IEEE}, May 1995. (Invited special paper).
  12. A. H. Delaney and Y. Bresler, ``Multiresolution tomographic reconstruction using wavelets,'' in Proc. 1st IEEE Int. Conf. on Image Processing, vol. II, (Austin, Texas), pp. 830--834, Nov. 1994.
  13. I. B. Kerfoot and Y. Bresler, ``Theoretical analysis of a multiscale algorithm for the direct segmentation of tomographic images,'' in Proc. First IEEE Intern. Conf. on Image Processing, vol. II, (Austin, TX), pp. 177--181, Nov. 1994.
  14. Y. Bresler and N. P. Willis, ``Scan-rate reduction for tomographic imaging of time varying distributions,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1905, (San Jose, CA), pp. 934--945, Feb. 1993.
  15. Y. Bresler and N. P. Willis, ``Analysis and design of minimum scan-rate tomographic acquisition of time-varying distributions,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Minnesota), pp. 487--490, Apr. 1993.
  16. N. P. Willis and Y. Bresler, ``Optimal scan design for tomographic imaging of time varying distributions,'' in Proc. Int. Symp. Circuits and Systems, (Singapore), June 1991.
  17. N. P. Willis and Y. Bresler, ``Tomographic imaging of time varying distributions,'' in Proc. SPIE/SPSE Conf. on Biomed. Image Proc., (Santa Clara, CA), pp. 111--123, Feb. 1990.
  18. Y. Bresler and C. J. Skrabacz, ``Optimum interpolation in helical scan computerized tomography,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Glasgow, Scotland), pp. 1472--1475, May 1989.
  19. Y. Bresler, ``Estimation techniques for reconstruction from projections,'' in Proc. IEEE Asilomar Conf., pp. 680--684, 1987.
  20. Y. Bresler and A. Macovski, ``Estimation of 3-d shape of blood vessels from x-ray images,'' in Proc. IEEE Int. Symp. Med. Images & Icons, (Arlington, VA), pp. 251--253, July 1984.
  21. Y. Bresler and A. Macovski, ``A hierarchical Bayesian approach to reconstruction from projections of a multiple object 3-d scene,'' in  Proc. 7th International Conference on Pattern Recognition, (Montreal, Canada), pp. 455--457, Aug. 1984.
  22. Y. Bresler and A. Macovski, ``3-D reconstruction from projections with incomplete and noisy data by object estimation,'' in Proc. Int. Conf. on Computers, Systems & Signal Process., (Bangalore, India), pp. 1795--1800, Dec. 1984.
  23. Y. Bresler and A. Macovski, ``3-D reconstruction from projections based on dynamic object models,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (San Diego, CA), pp. 12A.1.1--12A.1.4, Mar. 1984.

Magnetic Resonance Imaging

    CONFERENCES

  1. N. Aggarwal Y.Bresler, ``Spatio-temporal modeling and adaptive acquisition for free-breathing cardiac Magnetic Resonance Imaging,'' 2nd SIAM Conference on Imaging Science, Salt Lake City, May 2004.

  2. N. Aggarwal, S. Bandyopadhyay, and Y. Bresler, ``Spatio-temporal modeling and adaptive acquisition for cardiac MRI,'' in Proc. 2nd IEEE Int. Symp. Biomedical Imaging, ISBI-2004, Washington DC, Apr. 2004.PDF

  3. N. Aggarwal and Y. Bresler,  ``Accelerated parallel magnetic resonance imaging by adaptive k-space sampling,'' Proc. 2nd IEEE Int. Symp. Biomedical Imaging, SBI-2004, Washington DC, Apr. 2004.PDF

  4. N. Aggarwal and Y. Bresler, ``Optimal sampling in parallel magnetic resonance imaging,'' in Proc. IEEE Int. Conf. Image Process., ICIP-2003, Barcelona, Spain, pp. 737--740, Sept. 2003. PDF

  5. Y. Bresler, "Fast acquisition and sampling in MRI: Introduction to time-sequential sampling of spatio-temporal signals," in Proc. 1st IEEE Int.Symp. Biomed. Imag. ISBI-2002, Washington, DC, pp. 713-16, July 2002. PDF

  6. N. Aggarwal, Q. Zhao and Y. Bresler, "Spatio-temporal modeling and minimum redundancy adaptive acquisition in dynamic MRI," in Proc. 1st IEEE Int.Symp. Biomed. Imag. ISBI-2002, Washington, DC, pp. 737-40, July 2002. PDF

  7. N. Aggarwal, Q. Zhao, and Y. Bresler, ``A time-warped spectral model for minimum redundancy sampling in cardiac imaging,'' in Proc. Proc. Int. Symp. Magn. Reson. in Med. ISMRM-2002, Honolulu, Hawaii, pp. 2378, May 2002. PDF

  8. N. Aggarwal, and Y. Bresler, ``Minimum redundancy nonuniform sampling in MRI using statistical criteria,'' in Proc. Int. Symp. Magn. Reson. in Med. ISMRM-2002, Honolulu, Hawaii, pp. 2363, May 2002. PDF

  9.  Q. Zhao, N. Aggarwal, and Y. Bresler, ``Dynamic magnetic resonance imaging based on optimal sampling and time-varying harmonic model,'' in Proc. Int. Symp. Magn. Reson. in Med. ISMRM-2002, Honolulu, Hawaii, pp. 2366 , May 2002. PDF

  10. Y. Bresler, ``Optimum time-sequential sampling for imaging of time varying objects: Applications in tomography and MRI,''  SIAM Conference on Imaging Science, Boston, March 2002.

  11. Q. Zhao, N. Aggarwal, and Y. Bresler, ``Dynamic imaging of time-varying objects,'' in Proc. ISMRM 2001, Glasgow, Scotland, p. 1776, Apr. 2001.

Deconvolution and Inverse Problems in Imaging

    JOURNAL ARTICLES

  1. 1.    J. C. Ye, Y. Bresler, and P. Moulin, "A self-referencing level-set method for image reconstruction from sparse Fourier samples," Int. J. Comp. Vision, vol. 50, no. 3, pp. 253-70, Dec. 2002.

  2. G. Harikumar and Y. Bresler, ``Exact image deconvolution from multiple FIR blurs,'' IEEE Trans. Image Processing, June 1999.

  3. G. Harikumar and Y. Bresler, ``Blind restoration of images blurred by multiple filters: theory and efficient algorithms,'' IEEE Trans. Image Processing, vol. 8, pp. 202--219, Feb. 1999.

  4. G. Harikumar and Y. Bresler, `` FIR perfect signal reconstruction from multiple convolutions: Minimum deconvolver orders'' IEEE Trans. Signal Processing, pp. Jan. 1998.

    CONFERENCES

  1. J. C. Ye, Y. Bresler, and P. moulin, ``A self-referencing level-set method for image reconstruction from sparse fourier samples,'' in IEEE Workshop on Variational and Level Set Methods in Computer Vision, Vancouver, CA, July 2001.
  2. J. C. Ye, Y. Bresler, and P. moulin, ``A self-referencing level-set method for image reconstruction from sparse Fourier samples,'' in Proc. IEEE Int. Conf. Image Proc., ICIP, Thesaloniki, Greece, Oct. 2001.
  3. J.C.Ye, Y. Bresler, and P. Moulin, ``Fourier descriptors for parametric shape estimation in nonlinear inverse scattering problems,'' in Signal Processing, Sensor Fusion, and Target Recognition, Proc. SPIE vol. 4052, pp. 309-320, Orlando FL  Apr. 2000.
  4. J. Benson, Y. Bresler, and Jr. G. W. Swenson, ``Interferometric passive acoustic imaging through the near-ground atmosphere,'' in Meeting Acoustical Society of America, Chicago, June 2001.
  5. G. Harikumar and Y. Bresler, ``Channel order estimation for multichannel blind image recovery,'' invited paper in Proc. IEEE Asilomar Conf., Pacific Grove, CA, Oct. 1998.
  6. G. Harikumar and Y. Bresler, ``An efficient algorithm for the blind recovery of images blurred by multiple filters,'' in Proc. 3rd IEEE Int. Conf. on Image Processing, ICIP'96, (Zurich, Switzerland), vol. III, pp. 97--100, Sept. 1996.
  7. G. Harikumar and Y. Bresler, ``Analysis and comparative evaluation of techniques for multichannel blind deconvolution,'' in Proc. SSAP-96, 8th SP Workshop on Stat. Sig. and Array Process., (Corfu, Greece), {IEEE}, pp. 332--335, June 1996.
  8. G. Harikumar and Y. Bresler, ``A new algorithm for computing sparse solutions to linear inverse problems,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Atlanta, GA), vol. 3, pp. 1331--134, May 1996.

Sampling and Interpolation

    JOURNAL ARTICLES

  1. R. Venkataramani and Y. Bresler, "Multiple-Input Multiple-Output Sampling: Necessary Density Conditions,"  IEEE Trans. Information Theory., vol. 50, pp. 1754-1768, Aug. 2004.
  2. R. Venkataramani and Y. Bresler, "Sampling Theorems for Uniform and Periodic Nonuniform MIMO Sampling of Multiband Signals," IEEE Trans. Signal Process., v. 51, no. 12, pp. 3152-63, Dec. 2003.PDF
  3. R. Venkataramani and Y. Bresler, "Filter Design for MIMO Sampling and Reconstruction," IEEE Trans. Signal Process., v. 51, no. 12,  p 3164-76, Dec. 2003. PDF
  4. S.Basu and Y.Bresler, "An empirical study of minimax-optimal fractional delays for lowpass signals," IEEE Trans. Circuits Syst. II, vol. 49, No. 4, pp. 288-292, April 2002.
  5. R. Venkataramani and Y. Bresler, "Optimal sub-Nyquist nonuniform sampling and reconstruction of multiband signals," IEEE Trans.Signal Processing , vol. 49, no. 10, pp. 2301 -2313, Oct. 2001. PDF
  6. R. Venkataramani and Y. Bresler, "Perfect reconstruction formulae and bounds on aliasing error in sub-Nyquist sampling of multiband signals," IEEE Trans. Information Theory, vol. 46, pp. 2173--83, Sep. 2000.  PDF
  7. N. P. Willis and Y. Bresler, ``Lattice-theoretic analysis of time-sequential sampling of spatio-temporal signals Part II: Large space-bandwidth-product asymptotics,'' IEEE Trans. Infor. Theory, pp. 208-220, Jan. 1997. PDF
  8. N. P. Willis and Y. Bresler, ``Lattice-theoretic analysis of time-sequential sampling of spatio-temporal signals Part I,'' IEEE Trans. Infor. Theory, pp. 190-207, Jan. 1997. PDF
  9. Y. Bresler, ``Bounds on the aliasing error in multidimensional shannon sampling,'' IEEE Trans. Infor. Theory, pp. 2238-2241, Nov. 1996.  PDF
  10. N. P. Willis and Y. Bresler, ``Norm invariance of minimax-optimal interpolation,'' IEEE Trans. Infor. Theory, pp. 1177--1181, May 1992.

    CONFERENCES

  1. R. Venkataramani and Y. Bresler, ``Necessary conditions for {MIMO} sampling of multiband inputs,'' Proc. Internationanl Symposium on Information
    Theory ISIT-2002    , Lausanne, Switzerland, June 2002.
  2. Michael Gastpar and Y. Bresler, ``On the necessary density for spectrum-blind nonuniform sampling subject to quantization,'' in Proc. IEEE int. Conf. Acoust. Speech Sig. Proc., Istanbul, June 2000, vol. 1, pp. 348--351.
  3. Michael Gastpar and Y. Bresler, ``On the optimum density for nonuniform sampling,'' in Proc. ISIT, Internationanl Symposium on Information Theory, Sorento, Italy, June 2000.
  4. Y. Bresler, M. Gastpar, and R. Venkataramani, ``Image compression on-the-fly by universal sampling in Fourier imaging systems,'' in Proc. 1999 IEEE Information Theory Workop on Detection, Estimation, Classification, and Imaging, Santa-Fe, NM, pp. 48--48, Feb. 1999.
  5. R. Venkataramani and Y. Bresler, ``Further results on spectrum blind sampling of 2D signals,'' in Proc. IEEE Int. Conf. Image Proc, ICIP , vol. 2, pp. 752--756, Chicago, Oct. 1998.
  6. R. Venkataramani and Y. Bresler, ``Sub-Nyquist Sampling of Multiband Signals: Perfect Reconstruction and Bounds on Aliasing Error,'' in Proc. IEEE Int. Conf. Acoust. Speech, Sig. Proc., Seatle, WA, vol. 3, pp. 1633--1636, Apr. 1998.
  7. Y. Bresler, and P. Feng, ``Spectrum-blind minimum-rate sampling and reconstruction of 2-D multiband signals,'' in Proc. 3rd IEEE Int. Conf. on Image Processing, ICIP'96, (Zurich, Switzerland), vol. I, pp. 701--704, Sept. 1996.
  8. P. Feng, S.F. Yau, and Y. Bresler, ``A multicoset sampling approach to the missing cone problem in computer aided tomography,'' in Proceedings IEEE Int. Symposium Circuits and Systems, (Atlanta, GA), Vol. 2, pp. 734--737, May 1996. 
  9. P. Feng and Y. Bresler, ``Spectrum-blind minimum-rate sampling and reconstruction of multiband signals,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Atlanta, GA), {IEEE}, vol. 3, pp. 1689--1692, May 1996.
  10. Y. Bresler, ``Unified time-sequential sampling theory for spatio-temporal signals,'' in Proc. 12th IAPR Int. Conf. Pattern Recog./Signal Process., vol. III, (Jerusalem, Israel), pp. 47--52, Oct. 1994. (invited special presentation)
  11. Y. Bresler and N. P. Willis, ``Unified theory of time-sequential sampling,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1903, (San Jose, CA), pp. 37--50, Feb. 1993
  12. N. P. Willis and Y. Bresler, ``A new approach to the time-sequential sampling problem,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (San Francisco), Mar. 1992.
  13. N. P. Willis and Y. Bresler, ``New results on time-sequential sampling,'' in Proc. 7th Workshop on Multidimensional Signal Proces., (Lake Placid, NY), Sept. 1991.

Statistical Signal Processing

    JOURNAL ARTICLES

  1. 1.    M. C. Robini, Y. Bresler, and I. E. Magnin, "On the convergence of Metropolis-type relaxation and annealing with constraints," Probab. Eng. Infor.  Sci. vol. 16, no. 4, pp. 427-452, 2002.

  2. S.K. Basu and Y. Bresler, "Stability of nonlinear least-squares problems and the Cramer-Rao bound" IEEE Trans. Signal Processing, vol. 48, no. 12, pp. 3426--3436, Dec. 2000.

  3. S.K. Basu and Y. Bresler, "A global lower bound on parameter estimation error with periodic distortion functions," IEEE Trans. Information Theory, vol. 46, pp. 1146-1149, May 2000.
  4. S. F. Yau and Y. Bresler, "Performance analysis of the approximate dynamic programming algorithm for parameter estimation of superimposed signals," IEEE Trans. Signal Processing, vol. 48, pp. 1274-1286, May 2000.
  5. C. Couvreur & Y. Bresler, "Automatic classification of environmental noise sources by statistical methods,", International Journal of Noise Control Engineering, vol. 46, no. 4, pp. 1--16, Jul.-Aug. 1998. <abstract > <Postscript>
  6. L. M. Garth and Y. Bresler, ``Degradation of higher order detection using narrowband processing,'' IEEE Trans. Signal Processing, pp. 1770--1784, July 1997.
  7. S. F. Yau and Y. Bresler, ``On the robustness of parameter estimation of superimposed signals by dynamic programming,'' IEEE Trans. Signal Processing, pp. 2825--2836, Nov. 1996.
  8. L. M. Garth and Y. Bresler, ``On the use of asymptotics in detection and estimation,'' IEEE Trans. Signal Processing, pp. 1304--1307, May 1996.
  9. L. M. Garth and Y. Bresler, ``A comparison of optimized higher-order detection techniques for non-gaussian signals,'' IEEE Trans. Signal Processing, pp.1198--1213, May 1996.  
  10. S. F. Yau and Y. Bresler, ``Maximum likelihood parametr estimation of superimposed signals by dynamic programming,'' IEEE Trans. Signal Processing, pp. 804--820, Feb. 1993.
  11. S. F. Yau and Y. Bresler, ``Maximum likelihood parameter estimation and subspace fitting of superimposed signals by dynamic programming - an approximate method,'' Signal Processing, vol. 29, pp. 283--298, Dec. 1992.
  12. S. F. Yau and Y. Bresler, ``Worst-case Cramer-Rao bounds for parametric estimation of superimposed signals,'' IEEE Trans. Signal Processing, pp. 2973--2986, Dec. 1992.
  13. S. F. Yau and Y. Bresler, ``A compact Cramer-Rao bound expression for parametric estimation of superimposed signals,'' IEEE Trans. Signal Processing, pp. 1226--1230, May 1992.
  14. V. R. Y. Bresler and T. Kailath, ``Optimum beamforming for coherent signal and interferences,'' IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-36, pp. 833--843, June 1988.
  15. Y. Bresler and A. Macovski, ``On the number signals resolvable by a uniform linear array,'' IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-34, pp. 1361--1375, Dec. 1986.
  16. Y. Bresler and A. Macovski, ``Exact maximum likelihood parameter estimation of superimposed exponential signals in noise,'' IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-34, pp. 1081--1089, Oct. 1986.
  17. Y. Bresler, ``Two filter formulae for Bayesian smoothing,'' inter. J. of Contr., vol. 43, pp. 629--641, 1986.

    CONFERENCES

  1. C. Couvreur & Y. Bresler, "Classification of Mixtures of Acoustic Noise Signals", in Proc. 8th IEEE Workshop on Signal Processing (DSP '98), Ruby's Inn, Bryce Canyon National Park, Utah, August 9-12, 1998. <postscript> <abstract>
  2. C. Couvreur & Y. Bresler, "Doppler-Based Movement Estimation for Wide Band Sources From Single Sensor Measurements", in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP '97), Munich, Germany, April 21-24, 1997, pp. 3537-3540.  <pdf> <abstract>

    3. Listen to the sound example (WAV file) from the ICASSP Proceedings CD-ROM.
  3. C. Couvreur & Y. Bresler, "Modeling and Estimation of Doppler-shifted Gaussian Random Processes", in Proc. IEEE Workshop on Statistical Signal and Array Processing (SSAP'96), Corfu, Greece, June 24-26, 1996, pp. 28-31. <postscript> <pdf> <abstract>
  4. C. Couvreur & Y. Bresler, "Dictionary-Based Decomposition of Linear Mixtures of Gaussian Processes", in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP'96), Atlanta, GA, May 7-10, 1996, pp. 2519-2522. <postscript> <pdf> <abstract>
  5. C. Couvreur & Y. Bresler, "A Statistical Pattern Recognition Framework for Noise Recognition in an Intelligent Noise Monitoring System", in Proc. EURONOISE'95, Lyon, France, March 21-23, pp. 1007-1012, 1995. <postscript> <pdf> <abstract>
  6. C. Couvreur & Y. Bresler, "Decomposition of a Mixture of Gaussian AR Processes", in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP'95), Detroit, MI, May 7-10, pp. 1605-1608, 1995. <postscript> <pdf> <abstract>
  7. S. F. Yau and Y. Bresler, ``On the general properties of {C}ram\'{e}r-{R}ao bounds for parametric estimation of superimposed signals,'' in Proc. Int. Conf. Signal Proc. ICSP'93, (Beijing, China), pp. 171--174, Oct. 1993.
  8. L. M. Garth and Y. Bresler, ``On the inferiority of higher-order detection in narrowband processing,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Minnesota), pp. 208--211, Apr. 1993.
  9. Y. Bresler, ``On the resolution capacity of wideband sensor arrays: Further results,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Toronto, Canada), pp. 1353--1356, May 1991.
  10. S. F. Yau and Y. Bresler, ``Performance analysis of parametric estimation of superimposed signals by dynamic programming,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Toronto, Canada), pp. 3161--3164, May 1991.
  11. S. F. Yau and Y. Bresler, ``Worst-case cram\'{e}r-rao bounds for parametric estimation of superimposed signals,'' in Proc. 5th Spectrum Estimation Workshop, (Rochester, NY), pp. 187--191, Oct. 1990.
  12. S. F. Yau and Y. Bresler, ``Parameter estimation of superimposed signals by dynamic programming,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Albuquerque, NM), pp. 2499--2502, Apr. 1990.
  13. Y. Bresler and S. P. Litke, ``A parametric technique for superresolution image reconstruction,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Albuquerque, NM), pp. 1205--1208, Apr. 1990.
  14. Y. Bresler and A. J. Ficker, ``On the resolution capacity of wideband sensor arrays,'' in Communication, Control, and Signal Processing (E. Arikan, ed.), pp. 1553--1559, Elsevier Science Pub., B.V., 1990.
  15. Y. Bresler and A. J. Ficker, ``On the resolution capacity of wideband sensor arrays,'' in Proc. Sixth ASSP Workshop on Multidimensional Signal Processing, (Monterey, CA), Sept. 1989.
  16. A. J. Ficker and Y. Bresler, ``Sensor-efficient wideband source location,'' in Proc. 32nd Midwest Symposium on Circ. and Sys., (Urbana, IL), pp. 586--589, Aug. 1989.
  17. Y. Bresler and A. Delaney, ``Resolution of overlapping pulses of unknown shape,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Glasgow, Scotland), pp. 2657--2660, May 1989.
  18. Y. Bresler, ``Maximum likelihood estimation of a linearly structured covariance with applications to antenna array processing,'' in Proc. 4th Spectrum Estimation Workshop, (Minneapolis, MN), pp. 172--175, Aug. 1988.
  19. K. Arun and Y. Bresler, ``Multiply replicated arrays for direction of arrival estimation,'' in Proc. IEEE Asilomar Conf., (Pacific Grove, CA), pp. 828--831, 1988.
  20. Y. Bresler, V. Reddy, and T. Kailath, ``A polynomial approach to optimum beamforming for coherent signal and interferences,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Dallas TX), pp. 2292--2295, 1987.
  21. Y. Bresler and A. Macovski, ``Exact maximum likelihood estimation of superimposed exponential signals in noise,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Tampa, Florida), pp. 1824--1827, Mar. 1985.
  22. Y. Bresler and A. Macovski, ``Nonlinear estimation of dynamic shift and shape parameters from set function measurements,'' in Proc. Amer. Contr. Conf., (San Diego CA), pp. 1484--1485, June 1984.

Statistical Imaging and Image Processing

    JOURNAL ARTICLES

  1. J.C.Ye, Y. Bresler, and P.Moulin, "Cramer-Rao bounds for parametric shape estimation in inverse problems,"  IEEE Trans. Image Processing, no. 1, pp. 71--84, Jan. 2003.
  2. J.C.Ye, Y. Bresler, and P. Moulin, "Cramer-Rao Bounds for Parametric Boundaries of Targets in Inverse Scattering Problems," IEEE Trans. on Antennas and Propagat.,vol. 49 No. 5, pp. 2301 -2313, May 2001. (gzipped postscript) (pdf)
  3. J.C. Ye, Y. Bresler, and P. Moulin, ``Global confidence regions in parametric shape estimation'' IEEE Trans. Infor. Theory, vol. 46, no. 5, pp. 1881--1895, Aug. 2000. (gzipped postscript)
  4. I. B. Kerfoot and Y. Bresler, ``Theoretical analysis of multichannel MRF image segmentation algorithms,'' IEEE Trans. Image Processing, June 1999.Postscript
  5. G. Harikumar and Y. Bresler, ``Feature extraction techniques for exploratory visualization of vector-valued imagery,'' IEEE Trans. Image Processing, pp. 1324--1334, Sept. 1996.Postscript
  6. S. F. Yau and Y. Bresler, ``Image restoration by complexity regularization via dynamic programming,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (San Francisco), Mar. 1992.
  7. S. F. Yau and Y. Bresler, ``Image restoration by dynamic programming,'' in {\em Proc. 7th Workshop on Multidimensional Signal Proces., (Lake Placid, NY), Sept. 1991.
  8. Y. Bresler and S. Merhav, ``Recursive image registration with applications to motion estimation,'' IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, pp. 70--85, Jan. 1987.
  9. Y. Bresler and S. J. Merhav, ``On-line vehicle motion estimation from visual terrain information {P}art {II}: {G}round velocity and position estimation,'' IEEE Trans. Aerosp. Electron. Syst., vol. AES-22, pp. 588--603, Sept. 1986.
  10. S. J. Merhav and Y. Bresler, ``On-line vehicle motion estimation from visual terrain information {P}art {I}: {R}ecursive image registration,'' IEEE Trans. Aerosp. Electron. Syst., vol. AES-22, pp. 583--587, Sept. 1986.

    ARTICLES IN EDITED VOLUMES

  1. R. Boesel and Y. Bresler, ``Bayes-optimal visualization of vector fields,'' in Maximum Entropy and Bayesian Methods in Science and Engineering (A. Mohammad-Djafari and G. demoment, eds.), Fundamental Theories of Physics, pp. 31--38, Dordrecht: Kluwer, 1993.
  2. I. B. Kerfoot and Y. Bresler, ``Theoretical performance analysis of Bayesian and information-theoretic image segmentation criteria,'' in Maximum Entropy and Bayesian Methods in Science and Engineering (A. Mohammad-Djafari and G. Demoment, eds.), Fundamental Theories of Physics, pp. 55--62, Dordrecht: Kluwer, 1993.

    CONFERENCES

  1. J.C.Ye, Y. Bresler, and P. Moulin, ``Crame'r-Rao bounds for parametric boundaries of targets in passive radar problems,'' in Proc. SPIE's Annual Meeting, Orlando, Apr. 2000. (Invited Paper)
  2. J.C.Ye, Y. Bresler, and P. Moulin, ``Global confidence regions in parametric shape estimation,'' in Proc. IEEE int. Conf. Acoust. Speech Sig. Proc., Istanbul, June 2000.
  3. G. Harikumar and Y. Bresler, ``Vector field visualization: Analysis of feature extraction methods,'' in Proc. 1st IEEE Int. Conf. on Image Processing, vol. II, (Austin, Texas), pp. 51--55, Nov. 1994.
  4. G. Harikumar and Y. Bresler, ``Analysis of projection indices for visualization of vector fields by projection pursuit,'' in Proc. 12th IAPR Int. Conf. Pattern Recog./Signal Process., vol. III, (Jerusalem, Israel), pp. 103--108, Oct. 1994.
  5. G. Harikumar and Y. Bresler, ``Vector field visualization by projection pursuit: Analysis of projection indices,'' in Proc. SPIE Symp. on Visual Comm. and Image Proc., VCIP'94, (Chicago), pp. 942--953, Sept. 1994.
  6. Y. Bresler, ``Optimum visualization of vector fields and multi-sensor fusion,'' in Proc. 7th SP Workshop on Stat. Sig. and Array Process., (Quebec City, Canada), pp. 91--96, June 1994.  (invited plenary talk).
  7. I. B. Kerfoot and Y. Bresler, ``Information-theoretic segmentation criteria for vector fields: Analysis and design,'' in Proc. IEEE int. Conf. Acoust. Speech and Sig. Proc., (Minnesota), pp. 5--8, Apr. 1993.
  8. R. Boesel and Y. Bresler, ``Bayes-optimal visualization of vector fields,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1913, (San Jose, CA), pp. 570--581, Feb. 1993.
  9. G. Harikumar and Y. Bresler, ``Variations on projection pursuit for multi-parameter image visualization,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1905, (San Jose, CA), pp. 356--367, Feb. 1993.
  10. I. B. Kerfoot and Y. Bresler, ``Mean field and information-theoretic algorithms for direct segmentation of tomographic images,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1905, (San Jose, CA), pp. 956--963, Feb. 1993.
  11. I. B. Kerfoot and Y. Bresler, ``Design and analysis of an information-theoretic algorithm for vector field segmentation,'' in Proc. IS\&T/SPIE Symp. Electr. Imaging Science and Techn., vol. 1904, (San Jose, CA), pp. 92--103, Feb. 1993.
  12. R. Boesel and Y. Bresler, ``A new paradigm for optimal multi-parameter image visualization,'' in Second Conference on Visualization in Biomedical Computing-VBC'92, (Chapel Hill, NC), Oct. 1992.
  13. G. Harikumar and Y. Bresler, ``Multi-parameter image visualization by projection pursuit,'' in Second Conference on Visualization in Biomedical Computing-VBC'92, 1992.
  14. R. Boesel and Y. Bresler, ``Bayes-optimal visualization of vector fields,'' in Twelfth International MaxEnt Workshop, (Paris), July 1992.
  15. I. B. Kerfoot and Y. Bresler, ``Theoretical performance analysis of bayesian and information-theoretic image segmentation criteria,'' in Twelfth International MaxEnt Workshop, (Paris), July 1992.
  16. D. Rachlin, Y. Bresler, A. Macovski, and F. Sommer, ``Analysis and comparison of proposed methods for estimating intensity in speckle degraded b-scans,'' in Ultrasonic Imaging, vol. 9, 1987.

Source Coding and Data Compression

    JOURNAL ARTICLES

  1. D. Baron and Y. Bresler, "An O(N) semipredictive universal encoder via the BWT," IEEE Trans. Information Theory, Vol. 50 , No.  5, pp. 928 - 937, May 2004. PDF
  2. D. Baron and Y. Bresler, "Antisequential suffix sorting for BWT-based data compression,'' IEEE Trans. Computers, vol. 54, no. 4, pp. 385--397, Apr. 2005.

    CONFERENCES

  1. D. Baron, Y. Bresler, and M. K. Mihcak, ``Two-part codes with low worst-case redundancies for distributed compression of Bernoulli sequences,''  Proc. 34th Annual Conf. Infor. Sci. Sys. (CISS 2003)}, Baltimore, MD, Mar. 2003.
  2. D. Baron and Y. Bresler, "Linear Complexity MDL Universal Coding with the BWT", presented at the recent results session at the IEEE International Symposium on Information Theory (ISIT 2001), Washington, DC, June 2001.
  3. D. Baron and Y. Bresler, "Tree Source Identification with the Burrows Wheeler Transform", Proceedings of the 34th Annual Conference on Information Sciences and Systems (CISS 2000), Princeton New Jersey, vol. 2, pp. FA1-10-FA1-15, March 2000. ( Post script).

Mathematics

    JOURNAL ARTICLES

  1. S. F. Yau and Y. Bresler, ``A generalization of {B}ergstrom's inequality and some applications,'' Linear Algebra and Applications, vol. 161, pp. 135--151, 1992.
  2. C. Couvreur & Y. Bresler, "On the Optimallity of the Backward Greedy Algorithm for the Subset Selection Problem", SIAM Journal on Matrix Analysis and Its Applications, Vol. 21 No. 3, pp. 797-808, 1999. Draft version available <postscript>.

PATENTS

  1. A. Boag, Y. Bresler, and E. Michielssen, "A multilevel domain decomposition method for fast reprojection of images," U.S Patent No. 6,263,096, July 17, 2001.
  2. S. Basu and Y. Bresler,"Fast hierarchical backprojection method for imaging," U.S Patent No. 6,282,257, Aug.28, 2001.
  3. S. Basu and Y. Bresler, "Fast hierarchical backprojection for 3D Radon transform," U.S Patent No. 6,307,911, Oct. 23, 2001.
  4. S. Basu and Y. Bresler, "Fast hierarchical reprojection for 3D Radon transform," U.S Patent No. 6,332,035, Dec. 18 2001.
  5. S. Basu and Y. Bresler, "Fast hierarchical reprojection algorithms for tomography," U.S Patent No. 6,351,548 B1, Feb. 26, 2002.
  6. S. Xiao, Y. Bresler, and D. C. Munson, "Methods and Apparatus for Fast Divergent Beam Tomography," U.S Patent No.  6,771,732, 2004

    TECHNICAL REPORTS

    1. L. Garth, Y. Bresler, and H. V. Poor, ``Sonar array detection techniques: an overview,'' tech. rep., Techno-Sciences, Inc., Nov. 1991. Prepared for Naval Ocean Systems Center, San Diego, CA.
    2. L. Garth, Y. Bresler, and H. V. Poor, ``The effects of narrowband processing on higher-order detection,'' tech. rep., Techno-Sciences, Inc., May 1992. Prepared for Naval Ocean Systems Center, San Diego, CA.
    3. H. V. Poor, L. Garth, and Y. Bresler, ``Detection of non-gaussian signals: An approach based on linear processes,'' tech. rep., Techno-Sciences, Inc., Feb. 1992. Prepared for Naval Ocean Systems Center, San Diego, CA.
    4. H. V. Poor, L. Garth, and Y. Bresler, ``Detection of non-gaussian signals: Performance analysis of quadratic and higher order detectors,'' tech. rep., Techno-Sciences, Inc., Mar. 1993. Prepared for Naval Ocean Systems Center, San Diego, CA.
    5. S. Basu and Y.Bresler, "Four lemmas on bivariate polynomial factorization and their computer verification by mathematica," Tech. }ep. UILU-ENG-99-2229, Coordinated Systems Laboratory, University of Illinois at Urbana-Champaign, 1999.
    6. S. Basu and Y.Bresler, "Two theorems on the column rank of certain matrices with trigonometric entries," Tech. {R}ep. UILU-ENG-99-2230, Coordinated Systems Laboratory, University of Illinois at Urbana-Champaign, 1999.
    7. D. Baron and Y. Bresler, "Linear Complexity MDL Universal Coding with the BWT", Technical report UILU-ENG-01-2213, Coordinated Science Laboratory, University of Illinois, June 2001.

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