## Book Chapters

- A. Srivastava, A.D. Lanterman, U. Grenander, M. Loizeaux, and M.I. Miller, “Monte Carlo Techniques for Automated Target Recognition,” Chapter 26 in
*Sequential Monte Carlo Methods in Practice*, Eds. A. Doucet, N. de Freitas, and N. Gordon, Springer-Verlag, 2001, pp. 533-552. - A.D. Lanterman, “Hypothesis Testing for Poisson versus Geometric Distributions using Stochastic Complexity,” Chapter 4 in
*Advances in Minimum Description Length: Theory and Applications*, Eds. P. Grunwald, I.J. Myung, and M. Pitt, MIT Press, 2005, pp. 99-123.

## Published and Accepted Journal Articles

- D.L. Snyder, M. Faisal, C.W. Helstrom, A.D. Lanterman, and R.L. White, “Compensation for Readout Noise in Charge-Coupled-Device Images,”
*Journal of the Optical Society of America A*, Vol. 12, No. 2, Feb. 1995, pp. 272-283. - M. Faisal, A.D. Lanterman, D.L. Snyder, and R.L. White, “Implementation of a Modified Richardson-Lucy Method for Image Restoration on a Massively Parallel Computer to Compensate for Space-Variant Point Spread of a Charge-Coupled-Device Camera,”
*Journal of the Optical Society of America A*, Vol. 12, No. 12, Dec. 1995, pp. 2593-2603. - A.D. Lanterman, M.I. Miller, and D.L. Snyder, “General Metropolis-Hastings Jump-Diffusions for Automatic Target Recognition in Infrared Scenes,”
*Optical Engineering*, Vol. 36, No. 4, April 1997, pp. 1123-1137. - A.D. Lanterman, J.A. O’Sullivan, and M.I. Miller, “Kullback-Leibler Distances for Quantifying Clutter and Models,”
*Optical Engineering*, Vol. 38, No. 2, Dec. 1999, pp. 2134-2146. - A.D. Lanterman, U. Grenander, and M.I. Miller, “Bayesian Segmentation via Asymptotic Partition Functions,”
*IEEE Trans. on Pattern Analysis and Machine Intelligence*, Vol. 22, No. 4, April 2000, pp. 337-347. - A.D. Lanterman, “Bayesian Inference of Thermodynamic State Incorporating Schwarz-Rissanen Complexity for Infrared Target Recognition,”
*Optical Engineering*, Vol. 39, No. 5, May 2000, pp. 1282-1292. - A.D. Lanterman, “Schwarz, Wallace, and Rissanen: Intertwining Themes in Theories of Model Selection,”
*International Statistical Review*, Vol. 69, No. 2, Aug. 2001, pp. 185-212. - A.D. Lanterman, “Jump-Diffusion Algorithm for Multiple Target Recognition Using Laser Radar Range Data,”
*Optical Engineering*, Vol. 40, No. 8, Aug. 2001, pp. 1724-1728. - M. Brandfass, A.D. Lanterman, and K.F. Warnick, “A Comparison of the Colton-Kirsch Inverse Scattering Method with Linearized Tomographic Inverse Scattering,”
*Inverse Problems*, Vol. 17, No. 6, Dec. 2001, pp. 1797-1816. - A.D. Lanterman, D.C. Munson, Jr., and Y. Wu, “Wide-Angle Radar Imaging Using Wigner-Ville Distributions,”
*IEE Proc. – Radar, Sonar, and Navigation*, Vol. 150, No. 4, Aug. 2003, pp. 203-211. **K. Choi**and A.D. Lanterman, “An Iterative Deautoconvolution Algorithm for Nonnegative Functions,”*Inverse Problems*, Vol. 21, No. 3, June 2005, pp. 981-995.- M. Çetin and A.D. Lanterman, “Region-Enhanced Passive Radar Imaging,”
*IEE Proc. – Radar, Sonar, and Navigation,*Vol. 152, No. 3, June 2005, pp. 185-194. **M. Tobias**and A.D. Lanterman, “Probability Hypothesis Density-Based Multitarget Tracking with Bistatic Range and Doppler Observations,”*IEE Proc. – Radar, Sonar, and Navigation,*Vol. 152, No. 3, June 2005, pp. 195-205.**K. Choi**, A.D. Lanterman, and J. Shin, “Regularized Minimum I-Divergence Methods for the Inverse Blackbody Radiation Problem,”*Inverse Problems*, Vol. 22, No. 4, Aug. 2006, pp. 1381-1403.**K. Choi**, A.D. Lanterman, and R. Raich, “Convergence of the Schulz-Snyder Phase Retrieval Algorithm to Local Minima,”*Journal of the Optical Society of America A*, Vol. 23, No. 8, Aug. 2006, pp. 1835-1845.**K. Choi**and A.D. Lanterman, “Phase Retrieval from Noisy Data Based on Minimization of Penalized I-Divergence,”*Journal of the Optical Society of America A*, Vol. 24, No. 1, Jan. 2007, pp. 34-49.**L.M. Ehrman**and A.D. Lanterman, “An EKF for Estimating Aircraft Orientation from Velocity Measurements,”*IET Radar, Sonar, and Navigation,*Vol. 2, No. 1, Feb. 2008, pp. 12-16.**M. Tobias**and A.D. Lanterman, “Techniques for Birth Particle Placement in the PHD Particle Filter Applied to Passive Radar,”*IET Radar, Sonar, and Navigation,*Vol. 2, No. 5, Oct. 2008, pp. 351-365.- K.L. Dunkle, L. Greenberg, A. Lanterman, R. Stephenson, and S. Allen, “Source of New Infections in Generalised HIV Epidemics – Authors’ Reply (invited correspondence),”
*The Lancet*, Vol. 372, No. 9646, 17 Oct. 2008, pp. 1300-1301. **W.F. Leven**and A.D. Lanterman, “Unscented Kalman Filters for Multiple Target Tracking with Symmetric Measurement Equations,”*IEEE Trans. on Automatic Control*, Vol. 54, No. 2, Feb. 2009, pp. 370-375.**R.D. Palkki**and A.D. Lanterman, “Chemical Mixture Estimation under a Poisson Raman Spectroscopy Model,”*Optical Engineering*, Vol. 49, Nov. 2010, 113601, doi:10.1117/1.3506203.**R.D. Palkki**, A.D. Lanterman, and W.D. Blair, “Addressing Track Hypothesis Coalescence in Sequential*K*-Best Multiple Hypothesis Tracking,”*IEEE Trans. on Aerospace and Electronic Systems*, Vol. 47, No. 3, July 2011, pp. 1551-1563.**R.D. Palkki**and A.D. Lanterman, “Minimum Description Length Approach to Detecting Chemicals via their Raman Spectra,”*Optical Engineering*, Vol. 50, July 2011, 083601, doi:10.1117/1.3609805.**M.S. Davis**, G.A. Showman, and A.D. Lanterman, “Coherent MIMO Radar: The Phased Array and Orthogonal Waveforms,”*IEEE Aerospace and Electronic Systems Magazine*, Vol. 29, No. 8, Part 2, Aug. 2014, pp. 76-91, doi:10.1109/MAES.2014.130148.- S.H. Nease, A.D. Lanterman, and J.O. Hasler, “A Transistor Ladder Voltage-Controlled Filter Implemented on a Field Programmable Analog Array,”
*Journal of the Audio Engineering Society*, Vol. 62, No. 9, Sept. 2014, pp. 611-618. **L.C. Cobo**, K. Subramanian, C.L Isbell, Jr., A.D. Lanterman, and A.L. Thomaz, “Abstraction from Demonstration for Efficient Reinforcement Learning in High-Dimensional Domains,”*Artificial Intelligence*, Vol. 216, Nov. 2014, pp. 103-128, doi:10.1016/j.artint.2014.07.003.**N.H. Sephus**, A.D. Lanterman, and D.V. Anderson, “Modulation Spectral Features: In Pursuit of Invariant Representations of Music with Application to Unsupervised Source Identification,”*Journal of New Music Research*, Vol. 44, No. 1, 2015, pp. 58-70, doi:10.1080/09298215.2014.916723.**J.H. Bang**, W.L. Melvin, and A.D. Lanterman, “Model-Based Clutter Cancellation Based on Enhanced Knowledge-Aided Parametric Covariance Estimation,”*IEEE**Trans. on Aerospace and Electronic Systems*, Vol. 51, No. 1, Jan. 2015, pp. 154-166, doi:10.1109/TAES.2014.130413.**M.S. Davis**and A.D. Lanterman, “Minimum Integrated Sidelobe Ratio Filters for MIMO Radar,”*IEEE Trans. on Aerospace and Electronic Systems*, Vol. 51, No. 1, Jan. 2015, pp. 405-416, doi:10.1109/TAES.2014.130745.**M.S. Davis**and A.D. Lanterman, “Aliasing in Recurrently Sampled Signals with an Application to Synthetic Aperture Imaging,”*IEEE Trans. on Signal Processing*, Vol. 63, No. 12, June 15, 2015, pp. 3088-3095, doi:10.1109/TSP.2015.2417503.**J.D. Glass**, W.D. Blair, and A.D. Lanterman, “Joint-Bin Monopulse Processing of Rayleigh Targets,”*IEEE Trans. on Signal Processing*, Vol. 63, No. 24, 2015, pp. 6673-6683, doi:10.1109/TSP.2015.2478749.**J.S. Wilcher**, A.D. Lanterman, and W.L. Melvin, “Using an Information-Theoretic Measure to Inform Distributed Radar Placement for ATR,”*IET Radar, Sonar, and Navigation*, Vol. 10, No. 6, June 2016, pp. 1098-1106, doi:10.1049/iet-rsn.2015.0451.**J.H. Bang**, W.L. Melvin, and A.D. Lanterman, “Knowledge-Aided Covariance Matrix Estimation in Spiky Radar Clutter Environments,”*Electronics*, Special Issue on Radio and Radar Signal Processing, Vol. 6, No. 1, March 9, 2017, 9 pages, doi:10.3390/electronics6010020.- A.D. Harper, J.T. Reed, J.L. Odom, A.D. Lanterman, and X. Ma, “Performance of a Linear-Detector Joint Radar-Communication System in Doubly-Selective Channels,”
*IEEE Trans. on Aerospace and Electronic Systems*, Vol. 53, No. 2, April 2017, pp. 703-715, doi:10.1109/TAES.2017.2664481. **J.L. Reed**, A.D. Lanterman, and J.M. Trostel, “Weather Radar: Operation and Phenomenology,”*IEEE Aerospace and Electronic Systems Magazine*, Vol. 32, No. 7, July 2017, pp. 46-62, doi: 10.1109/MAES.2017.150178.- S.H. Nease, A.D. Lanterman, and J.O. Hasler, “Application of Current-Starved Inverters to Music Synthesis on Field Programmable Analog Arrays,”
*Journal of the Audio Engineering Society*, fully accepted for publication, final files provided to typesetters Dec. 2017.

## Conference Presentations with Proceedings (Refereed)

- L. Snyder, A.D. Lanterman, and M.I. Miller, “An Extension of Good’s Roughness Penalty for Nonparametric Density-Estimation,”
*Proc. 30th Annual Allerton Conf. on Communication, Control, and Computing*, Univ. of Illinois, Urbana, IL, 30 Sept – 1 Oct., 1992, pp. 329. - L. Snyder, A.D. Lanterman, and M.I. Miller, “Regularizing Images in Emission Tomography via an Extension of Good’s Roughness Penalty,”
*Record of the 1992 IEEE Nuclear Science Symposium and Medical Imaging Conf.,*Vol. 2, 25-31 Oct. 1992, p. 1223. - L. Snyder, C.W. Helstrom, A.D. Lanterman, and M. Faisal, “Evaluation of a Function Occurring in Maximum-Likelihood Image-Restoration for CCD Camera Data,”
*Proc. 31st Annual Allerton Conf. on Communication, Control, and Computing*, Univ. of Illinois, Urbana, IL, Sept. 1993, p. 492. - L. Snyder, C.W. Helstrom, A.D. Lanterman, M. Faisal, and R.L. White, “Compensation for Read-out Noise in HST Image Restoration,”
*The Restoration of HST Images and Spectra II*, Proc. Image Restoration Workshop, Space Telescope Science Institute, Baltimore, MD, Nov. 1993, pp. 139-154. - D. Lanterman, “Radar Imaging with Variations of an Expectation-Maximization Algorithm,”
*Proc. 1999 IEEE Workshop on Detection, Estimation, Classification, and Imaging*, Santa Fe, NM, Feb. 24-26 1999, p. 51. - W. Rieken, A.D. Lanterman, and D.R. Fuhrmann, “Spatial Spectrum Estimation for Time-Varying Arrays Using the EM Algorithm,”
*Proc. 38th Annual Allerton Conf. on Communication, Control, and Computing*, Vol. 1, Univ. of Illinois, Urbana, IL, 4-6 Oct. 2000, pp. 648-657. **M. Ehrman**and A.D. Lanterman, “A Robust Algorithm for Automatic Target Recognition using Passive Radar,”*36*, Atlanta, GA, March 14-16, 2004, pp. 102-106.^{th}IEEE Southeastern Symposium on System Theory**F. Leven**and A.D. Lanterman, “Multiple Target Tracking with Symmetric Measurement Equations using Unscented Kalman and Particle Filters,”*36*, Atlanta, GA, March 14-16, 2004, pp. 195-199.^{th}IEEE Southeastern Symposium on System Theory**Tobias**and A.D. Lanterman, “A Probability Hypothesis Density-Based Multitarget Tracker using Multiple Bistatic Range and Velocity Measurements,”*36*, Atlanta, GA, March 14-16, 2004, pp. 205-209.^{th}IEEE Southeastern Symposium on System Theory**D. Palkki**, A.D. Lanterman, and W.D. Blair, “Addressing Track Coalescence in Sequential K-Best Multiple Hypothesis Tracking,”*Proc. of the 38*March 5, 2006, pp. 503-507.^{th}Southeastern Symposium on System Theory,- Mallick, B. Drake, H. Park, A. Register, D. Blair, P. West, A. Lanterman, D. Emge, “Comparison of Raman Spectra Estimation Algorithms,”
*12*, Seattle, WA, July 6-9, 2009, pp. 2239-2246.^{th}International Conference on Information Fusion **D. Palkki**and A.D. Lanterman, “Algorithms and Performance Bounds for Chemical Identification under a Poisson Model for Raman Spectroscopy,”*12*, Seattle, WA, July 6-9, 2009, pp. 2231-2238.^{th}International Conference on Information Fusion**H. Bang**, W.L. Melvin, and A. Lanterman, “STAP Performance in K-Distributed Clutter,”*2010 IEEE Radar Conference*, Arlington, VA, May 10-14, 2010, pp. 1089-1093.**D. Glass**and A.D. Lanterman, “MIMO Radar Target Tracking using the Probability Hypothesis Density Filter,”*2012 IEEE Aerospace Conference*, Big Sky, MT, March 3-10, 2012, pp. 1-8.- Sale, C.J. Rozell, J.K. Romberg, and A.D. Lanterman, “Compressive LADAR in realistic environments,”
*2012 IEEE Statistical Signal Processing Workshop*, Ann Arbor, MI, Aug. 5-8, 2012, pp. 720-723. - Sale, C.J. Rozell, J.K. Romberg, and A.D. Lanterman, “Compressive LADAR Detector Noise Performance,”
*Asilomar Conference on Signals, Systems and Computers*, Pacific Grove, CA, Nov. 4-7, 2012, pp. 416-420. **Wilcher**, W.L. Melvin, and A. Lanterman, “Improved Distributed Automatic Target Recognition Performance via Spatial Diversity and Data Fusion,”*2013 IEEE Radar Conference*, Ottawa, Canada, April 29-May 3, 2013, doi:10.1109/RADAR.2013.6586031.**H. Sephus**, A.D. Lanterman, and D.V. Anderson, “Exploring Frequency Modulation Features and Resolution in the Modulation Spectrum.”*2013 IEEE Digital Signal Processing Workshop*, Napa, CA, Aug. 11-14, 2013, pp. 169-174.- Lanterman, M. Giardino, J.E. Michaels, B. Ferri, W. Hunt, A. Ferri, “Embedding Low-Cost, Portable Experiments into a Lecture-Based Signals and Systems Course,”
*2014 American Control Conference*, Portland, OR, June 4-6, 2014, pp. 2543-2549. **S. Davis**and A.D. Lanterman, “Optimal Filtering for MIMO SAR: Mismatched Filters for Minimum Integrated Sidelobe Ratio,”*2014 European Conference on Synthetic Aperture Radar*, Berlin, Germany, June 2-6, 2014, pp. 884-887.**Wilcher**, W.L. Melvin, and A. Lanterman, “Improved Distributed Automatic Target Recognition Performance by Exploiting Dominant Scatterer Spatial Diversity,”*Asilomar Conference on Signals, Systems and Computers*, Pacific Grove, CA, Nov. 2-Nov. 5, 2014, doi:10.1109/ACSSC.2014.7094419.**Wilcher**, W.L. Melvin, and A. Lanterman, “An Information-Theoretical Approach to Sensor Placement in a Multi-Sensor Automatic Target Recognition Environment,”*2015 IEEE Radar Conference*, Arlington, VA, May 11-15, 2015, doi:10.1109/RADAR.2015.7130988.**R. Krier**, M.C. Norko, J.T. Reed, R.J. Baxley, A.D. Lanterman, X. Ma, and J.R. Barry, “Performance Bounds for an OFDM-Based Joint Radar and Communications System,”*Military Communications Conference (MILCOM),*Tampa, FL, Oct. 26-28, 2015, pp. 511-516.- D. Harper, J.T. Reed, J.L. Odom, and A.D. Lanterman, “Performance of a Joint Radar-Communication System in Doubly-Selective Channels,”
*Asilomar Conference on Signals, Systems and Computers*, Pacific Grove, CA, Nov. 8-11, 2015, pp. 1369-1373, doi:10.1109/ACCSC.2015.7421366. - T. Reed, J.L. Odom, R.T. Causey, and A.D. Lanterman, “Gaussian Multiple Access Channels for Radar and Communications Spectrum Sharing,”
*2016 IEEE Radar Conference*, Philadelphia, PA, May 2-6, 2016, pp. 1369-1373: doi:10.1109/RADAR.2016.7485104. **S. Wilcher**, A.D. Lanterman, and W.L. Melvin “Using an Information-Theoretic Sensor Placement Algorithm to Assess Classifier Robustness,”*2016 IEEE Radar Conference*, Philadelphia, PA, May 2-6, 2016, doi:10.1109/RADAR.2016.7485233.

## Non-refereed Conference Publications with Proceedings

- D. Lanterman, M.I. Miller, D.L. Snyder, and W.J. Miceli, “Jump-Diffusion Processes for the Automated Understanding of FLIR Scenes,”
*Automatic Object Recognition IV*, Proc. SPIE 2234, Ed: F.J. Sadjadi, Orlando, FL, April 1994, pp. 416-427. - D. Lanterman, M.I. Miller, and D.L. Snyder, “Implementation of Jump-Diffusion Algorithms for Understanding FLIR Scenes,”
*Automatic Object Recognition V*, Proc. SPIE 2485, Ed: F.A. Sadjadi, Orlando, FL, April 1995, pp. 309-320. - D. Lanterman, M.I. Miller, and D.L. Snyder, “The Unification of Detection, Tracking, and Recognition for Millimeter Wave and Infrared Sensors,”
*Radar/Ladar Processing*, Proc. SPIE 2562, Ed. William J. Miceli, San Diego, CA, July 1995, pp. 150-161. - D. Lanterman, M.I. Miller, and D.L. Snyder, “Automatic Target Recognition via the Simulation of Infrared Scenes,”
*Proc. of the Sixth Annual Ground Target Modeling and Validation Conference*, Keweenaw Research Center, Michigan Tech. Univ., Houghton, MI, August 1995, pp. 195-204. - Cooper, A. Lanterman, S. Joshi, and M. Miller, “Representing The Variation of Thermodynamic State Via Principal Components Analysis,”
*Proc. Third Workshop On Conventional Weapon**ATR*, Redstone Arsenal, Huntsville, AL, pp. 479-490, 1996. - D. Lanterman, M.I. Miller, and D.L. Snyder, “Representations of Thermodynamic Variability in the Automated Understanding of FLIR Scenes,”
*Automatic Object Recognition VI*, Proc. SPIE 2756, Ed: F.A. Sadjadi, Orlando, FL, April 1996, pp. 26-37. - D. Lanterman, M.I. Miller, and D.L. Snyder, “Representations of Shape for Structural Inference in Infrared Scenes,”
*Automatic Object Recognition VII*, Proc. SPIE 3069, Ed: F.A. Sadjadi, Orlando FL, April 1997, pp. 257-268. - D. Lanterman, M.I. Miller, and D.L. Snyder, “Minimum Description Length Understanding of Infrared Scenes,”
*Automatic Object Recognition VIII*, Proc. SPIE 3371, Ed: F.A. Sadjadi, Orlando, FL, April 1998, pp. 375-386. - C. Zhu, A.D. Lanterman, and M.I. Miller, “Clutter Modeling and Performance Analysis in Automatic Target Recognition,”
*Proc. Workshop on Detection and Classification of Difficult Targets*, U.S. Army Aviation and Missile Command, Redstone Arsenal, Alabama, June 1998, pp. 477-496. - D. Lanterman, M.L. Cooper, and M.I. Miller, “Efficient Estimation of Thermodynamic State Incorporating Bayesian Model Order Selection,”
*Automatic Target Recognition IX*, Proc. SPIE 3718, Ed: F.A. Sadjadi, Orlando, FL, April 1999, pp. 2-13. - D. Lanterman, “Tracking and Recognition of Airborne Targets via Commercial Television and FM Radio Signals,”
*Acquisition, Tracking, and Pointing XIII,*Proc. SPIE 3692, Eds: M.K. Masten and L.A. Stockum, Orlando, FL, April 1999, pp. 189-198. - D. Lanterman, “Application of an Expectation-Maximization Algorithm for Structured Covariance Estimation to Radio Astronomy,”
*URSI National Radio Science Meeting Program and Abstracts*, Univ. of Colorado, Boulder, CO, 4-8 January 2000, p. 197. - D. Devore, A.D. Lanterman, and J.A. O’Sullivan, “ATR Performance of a Rician Model for SAR images,”
*Automatic Target Recognition X*, Proc. SPIE 4050, Ed: F.A. Sadjadi, Orlando, FL, April 2000, pp. 34-45. - D. Lanterman, “Statistical Radar Imaging of Diffuse and Specular Targets Using an Expectation-Maximization Algorithm,”
*Algorithms for Synthetic Aperture Radar Imagery VII*, Proc. SPIE 4053, Ed: E.G. Zelnio, Orlando, FL, April 2000, pp. 20-31. - C. Zhu, A.L. Yuille, and A.D. Lanterman, “ATR Applications of Minimax Entropy Models of Texture and Shape,”
*Automatic Target Recognition XI*, Proc. SPIE 4379, Ed: F.A. Sadjadi, Orlando, FL, April 2001, pp. 574-583. - D. Lanterman, “Efficient Implementation of an Expectation-Maximization Algorithm for Imaging Diffuse Radar Targets,”
*Algorithms for Synthetic Aperture Radar Imagery VIII,*Proc. SPIE 4382, Ed: E.G. Zelnio, Orlando, FL, April 2001, pp. 49-59. - Wu, A. Lanterman, and D.C. Munson, Jr., “Multistatic Passive Radar Imaging of Aircraft: A Feasibility Study Using FISC,”
*Proc. URSI National Science Radio Meeting,*Boulder, CO, Jan. 9-11, 2002. - D. Lanterman, “Deconvolution Techniques for Passive Radar Systems,”
*Algorithms for Synthetic Aperture Radar Imagery IX,*Proc. SPIE 4727, Ed: E.G. Zelnio, Orlando, FL, April 2002, pp. 166-177. **M. Ehrman**and A.D. Lanterman, “Automated Target Recognition using Passive Radar and Coordinated Flight Models,”*Automatic Target Recognition XIII*, Proc. SPIE 5094, Ed: F.A. Sadjadi, Orlando, FL, April 2003, pp. 196-207.- D. Lanterman, “Sampling from Multitarget Bayesian Posteriors for Random Sets via Jump-Diffusion Processes,”
*Signal Processing, Sensor Fusion, and Target Recognition XII*, Proc. SPIE 5096, Ed: I. Kadar, April 2003, pp. 300-311. **M. Ehrman**and A.D. Lanterman, “Target Identification Using Precomputed Radar Cross Sections and a Coordinated Flight Model,”*Third Multinational Conference on Passive and Covert Radar*, Ed: P. Kurzenhauser and B. Spickler, Univ. of Washington Applied Physics Laboratory, Oct. 21-23, 2003.**M. Ehrman**and A.D. Lanterman, “Robust Algorithm for Automated Target Recognition using Precomputed Radar Cross Sections,”*Automatic Target Recognition XIV*, Proc. SPIE 5426, Ed: F.A. Sadjadi, Orlando, FL, April 12-16, 2004, pp. 197-208.- Çetin and A.D. Lanterman, “Region-Enhanced Imaging for Sparse-Aperture Passive Radar,”
*Algorithms for Synthetic Aperture Radar Imagery XI*, Proc. SPIE 5427, Ed: E.G. Zelnio, Orlando, FL, April 12-16, 2004, pp. 176-187. **Tobias**and A.D. Lanterman, “Multitarget Tracking using Multiple Bistatic Range Measurements with Probability Hypothesis Densities,”*Signal Processing, Sensor Fusion, and Target Recognition XIII*, Proc. SPIE 5429, Ed: I. Kadar, Orlando, FL, April 12-16, 2004, pp. 296-305.- D. Lanterman, “Passive Radar Imaging and Target Recognition using Illuminators of Opportunity,”
*NATO Symposium on Target Identification and Recognition Using RF Systems*, Oslo, Norway, Oct. 11-13, 2004. **M. Ehrman**and A.D. Lanterman, “Assessing the Performance of a Covert Automatic Target Recognition Algorithm,”*Automatic Target Recognition XV*, Proc. SPIE 5807, Ed: F.A. Sadjadi, Orlando, FL, March 28-April 1, 2005, pp. 77-87.**F. Leven**and A.D. Lanterman, “Multiple Target Tracking with Symmetric Measurement Equations Revisited: Unscented Kalman Filters, Particle Filters, and Taylor Seires Expansions,”*Acquisition, Tracking, and Pointing XIX*, Proc. SPIE 5810, Eds: M.K. Masten and L.A. Stockum, Orlando, FL, March 28-April 1, 2005, pp. 56-67.**H. Dixon**and A.D. Lanterman, “Toward Practical Pattern-Theoretic ATR Algorithms for Infrared Imagery,”*Automatic Target Recognition XVI*, Proc. SPIE 6234, Ed: F.A. Sadjadi, Orlando, FL, April 17-21, 2006, pp. 212-220.**H. Dixon**and A.D. Lanterman, “Information-Theoretic Bounds on Target Recognition Performance from Laser Radar Data,”*Automatic Target Recognition XVI*, Proc. SPIE 6234, Ed: F.A. Sadjadi, Orlando, FL, April 17-21, 2006, pp. 394-403.