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 Computational SinglePhoton Depth Imaging Without Transverse Regularization
D. Shin, J. H. Shapiro, and V. K. Goyal, Proc. IEEE Int. Conf. Image Process. (Phoenix, AZ), September 2016, to appear.
 PhotonEfficient Computational Imaging with a SinglePhoton Camera
D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro,
Proc. Computational Optical Sensing and Imaging, part of OSA Imaging and Applied Optics (Heidelberg, Germany), July 2016, to appear.
 Social Learning in Team Decision Making
J. B. Rhim and V. K. Goyal, Proc. Collective Intelligence (Cambridge, MA), June 2014, paper 113.
 Computational 3D and Reflectivity Imaging with High Photon Efficiency
D. Shin, A. Kirmani, V. K. Goyal, and J. H. Shapiro, Proc. IEEE Int. Conf. Image Process. (Paris, France), October 2014, pp. 4650.
 Winner of the 2014 Best Paper Award
 3dim: Compact and Low Power TimeofFlight Sensor for 3D Capture Using Parametric Signal Processing
A. Colaço, A. Kirmani, N.W. Gong, T. McGarry, L. Watkins, and V. K. Goyal, Proc. Int. Image Sensor Workshop (Snowbird, UT), June 2013, pp. 349352.
 Mime: Compact, LowPower 3D Gesture Sensing for Interaction with HeadMounted Displays
A. Colaço, A. Kirmani, H. S. Yang, N.W. Gong, C. Schmandt, and V. K. Goyal, Proc. 26th ACM Symp. User Interface Software and Technology (UIST) (St. Andrews, UK), October 2013, pp. 227236.
 High Photon Efficiency Computational Range Imaging using SpatioTemporal Statistical Regularization
A. Kirmani, D. Venkatraman, A. Colaço, F. N. C. Wong, and V. K. Goyal, Proc. CLEO (San Jose, CA), June 2013, paper QF1B.2.
 Compact LowPower 3D Imaging of Simple Planar Scenes Using Parametric Signal Processing
J. Mei, A. Colaço, A. Kirmani, and V. K. Goyal, Conf. Rec. 47th Asilomar Conf. Signals, Systems, & Computers (Pacific Grove, CA), November 2013.
 Phase Unwrapping and Denoising for TimeofFlight Imaging Using Generalized Approximate Message Passing
J. Mei, A. Kirmani, A. Colaço, and V. K. Goyal, Proc. IEEE Int. Conf. Image Process. (Melbourne, Australia), September 2013, pp. 364368.
 Keep Ballots Secret: On the Futility of Social Learning in Decision Making by Voting
J. B. Rhim and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Vancouver, BC, Canada), May 2013, pp. 42314235.
 Social Teaching: Being Informative vs. Being Right in Sequential Decision Making
J. B. Rhim and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Istanbul, Turkey), July 2013, pp. 26022606.
 Parametric Poisson Process Imaging
D. Shin, A. Kirmani, A. Colaço, and V. K. Goyal, Proc. IEEE Global Conf. Signal and Inform. Process. (Austin, TX), December 2013, pp. 10531056.
 LowRate Poisson Intensity Estimation Using Multiplexed Imaging
D. Shin, A. Kirmani, and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Vancouver, BC, Canada), May 2013, pp. 13641368.
 Information in a Photon: Relating Entropy and MaximumLikelihood Range Estimation Using SinglePhoton Counting Detectors
D. Shin, A. Kirmani, V. K. Goyal, and J. H. Shapiro, Proc. IEEE Int. Conf. Image Process. (Melbourne, Australia), September 2013, pp. 8387.
 Rate Loss in Distributed Functional Source Coding
J. Z. Sun and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Istanbul, Turkey), July 2013, pp. 23642368.
 Compressive Depth Map Acquisition Using a Single PhotonCounting Detector: Parametric Signal Processing Meets Sparsity
A. Colaço, A. Kirmani, G. A. Howland, J. C. Howell, and V. K. Goyal, Proc. IEEE Conf. Computer Vision and Pattern Recognition (Providence, RI), June 2012, pp. 96102.
 CoDAC: Compressive Depth Acquisition using a Single Timeresolved Sensor
A. Colaço, A. Kirmani, F. N. C. Wong, and V. K. Goyal, Proc. ACM SIGGRAPH (Los Angeles, CA), August 2012.
 TimeStampless Adaptive Nonuniform Sampling for Stochastic Signals
S. Feizi, V. K. Goyal, and M. Médard, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Kyoto, Japan), March 2012, pp. 38093812.
 CoDAC: A Compressive Depth Acquisition Camera Framework
A. Kirmani, A. Colaço, F. N. C. Wong, and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Kyoto, Japan), March 2012, pp. 54255428.
 Hybrid Generalized Approximate Message Passing
with Applications to Structured Sparsity
S. Rangan, A. K. Fletcher, V. K. Goyal, and P. Schniter, Proc. IEEE Int. Symp. Information Theory (Cambridge, MA), July 2012, pp. 12411245.
 Benefits of Collaboration and Diversity in Teams of
CategoricallyThinking Decision Makers
J. B. Rhim, L. R. Varshney, and V. K. Goyal, Proc. 7th IEEE Sensor Array and Multichannel Signal Processing Workshop (Hoboken, NJ), June 2012, pp. 181184.
 1st Place in Student Paper Contest
 Chatting in Distributed Quantization Networks
J. Z. Sun and V. K. Goyal, Proc. 50th Ann. Allerton Conf. Communication, Control, and Computing (Monticello, IL), October 2012.
 Dynamic Matrix Factorization: A State Space Approach
J. Z. Sun, K. R. Varshney, and K. Subbian, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Kyoto, Japan), March 2012, pp. 18971900.
 Experimental Comparison of SLMbased Traditional and
Computational Ghost Imaging with Compressed Sensing
D. Venkatraman, N. D. Hardy, V. Montazerhodjat, F. N. C. Wong, V. K. Goyal, and J. H. Shapiro, Proc. Conf. Lasers and ElectroOptics (San Jose, CA), May 2012.
 Greater Acceleration through SparsityPromoting GRAPPA Kernel Calibration
D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Melbourne, Australia), May 2012.
 Accelerated Parallel Magnetic Resonance Imaging Reconstruction
Using Joint Estimation with a Sparse Signal Model
D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. IEEE Statistical Signal Process. Workshop (Ann Arbor, MI), August 2012.
 Joint Bayesian Compressed Sensing for Multicontrast Reconstruction
B. Belgic, V. K. Goyal, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Montreal, Canada), May 2011, p. 71.
 EnergyEfficient TimeStampless Adaptive Nonuniform Sampling
S. Feizi, G. Angelopoulos, V. K. Goyal, and M. Médard, Proc. IEEE Sensors Conf. (Baltimore, MD), March 2011.
 Performance Regimes of Uncoded Linear Communications over AWGN Channels
S. Jakubczak, J. Z. Sun, D. Katabi, and V. K. Goyal, Proc. 45th Ann. Conf. Information Sciences & Systems (Limerick, Ireland), October 2011.
 MessagePassing Estimation
from Quantized Samples
U. Kamilov, V. K. Goyal, and S. Rangan, Proc. 4th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS 2011) (Edinburgh, Scotland, UK), June 2011, p. 58.
 Optimal Quantization for Compressive Sensing under Message Passing Reconstruction
U. Kamilov, V. K. Goyal, and S. Rangan, Proc. IEEE Int. Symp. Information Theory (St. Petersburg, Russia), JulyAugust 2011, pp. 390394.
 Generalized Approximate Message Passing Estimation from Quantized Samples
U. Kamilov, V. K. Goyal, and S. Rangan, Proc. 4th IEEE Int. Workshop on Computational Adv. in MultiSensor Adaptive Process. (CAMSAP 2011) (San Juan, Puerto Rico), December 2011, pp. 365368.
 Diffuse Imaging: Replacing Lenses and Mirrors with Omnitemporal Cameras
A. Kirmani, H. Jeelani, V. Montazerhodjat, and V. K. Goyal, Wavelets & Sparsity XIV (San Diego, CA), August 2011, Proc. SPIE vol. 8138.
 Malleable Coding with Fixed Segment Reuse
J. Kusuma, L. R. Varshney, and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (St. Petersburg, Russia), JulyAugust 2011, pp. 692696.
 Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities
J. B. Rhim, L. R. Varshney, and V. K. Goyal, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2011, pp. 303312.
 Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities
J. B. Rhim, L. R. Varshney, and V. K. Goyal, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2011, pp. 313322.
 Distributed Decision Making by CategoricallyThinking Agents
J. B. Rhim, L. R. Varshney, and V. K. Goyal, Proc. NIPS Workshop on Decision Making with Multiple Imperfect Decision Makers (Sierra Nevada, Spain), December 2011.
 Scalar Quantization for Relative Error
J. Z. Sun and V. K. Goyal, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2011, pp. 293302.
 Winner of the 2011 Capocelli Prize (best studentauthored paper)
 Categorical Decision Making by People, Committees, and Crowds
L. R. Varshney, J. B. Rhim, K. R. Varshney, and V. K. Goyal, Proc. Information Theory and Applications Workshop (La Jolla, CA), February 2011.
 Evaluating Sparsity Penalty Functions for Combined Compressed Sensing and Parallel MRI
D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. 8th IEEE Int. Symp. Biomedical Imaging: From Nano to Macro (Chicago, IL), MarchApril 2011, pp. 15891592.
 Student Paper Competition Finalist
 SpRING: Sparse Reconstruction of Images using the Nullspace method and GRAPPA
D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. Int. Soc. Magentic Resonance in Medicine Annual Meeting (Montreal, Canada), May 2011, p. 2861.
 Combined Compressed Sensing and Parallel MRI Compared for Uniform and Random Cartesian Undersampling of kSpace
D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (Prague, Czech Republic), May 2011, pp. 553556.
 Regularizing GRAPPA Using Simultaneous Sparsity to Recover Denoised Images
D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Wavelets & Sparsity XIV (San Diego, CA), August 2011, Proc. SPIE vol. 8138.
 Locally Adaptive Sampling
S. Feizi, V. K. Goyal, and M. Medard, Proc. 48th Ann. Allerton Conf. Communication, Control, and Computing (Monticello, IL), SeptemberOctober 2010, pp. 152159.
 Frame Permutation Quantization
H. Q. Nguyen, V. K. Goyal, and L. R. Varshney, Proc. Conf. Information Sciences & Systems (Princeton, NJ), March 2010.
 Extension of Replica Analysis to MAP Estimation with Applications to Compressed Sensing
S. Rangan, A. K. Fletcher, and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Austin, TX), June 2010, pp. 15431547.
 Distributed Inference Networks with Costly Wires
L. R. Varshney, Proc. Amer. Control Conf. (Baltimore, MD), JuneJuly 2010.
 Combining Nonconvex Compressed Sensing and GRAPPA Using the Nullspace Method
D. S. Weller, J. R. Polimeni, L. J. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. Int. Soc. Magentic Resonance in Medicine Annual Meeting (Stockholm, Sweden), May 2010.
 Orthogonal Matching Pursuit from Noisy Measurements: A New Analysis
A. K. Fletcher and S. Rangan, Proc. 23rd Ann. Conf. Neural Information Processing Systems (Vancouver, Canada), December 2009.
 A Sparsity Detection Framework for OnOff Random Access Channels
A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Seoul, Korea), JuneJuly 2009, pp. 169173.
DOI: 10.1109/ISIT.2009.5205769
 A MultiSensor Compressed Sensing Receiver: Performance Bounds and Simulated Results
B. Miller, J. Goodman, K. Forsythe, J. Z. Sun, and V. K. Goyal, Conf. Rec. 43rd Asilomar Conf. Signals, Systems, & Computers (Pacific Grove, CA), November 2009, pp. 15711575.
 On Concentric Spherical Codes and Permutation Codes with Multiple Initial Codewords
H. Q. Nguyen, V. K. Goyal, and L. R. Varshney, Proc. IEEE Int. Symp. Information Theory (Seoul, Korea), JuneJuly 2009, pp. 20382042.
DOI: 10.1109/ISIT.2009.5205511
 Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
S. Rangan, A. K. Fletcher, and V. K. Goyal, Proc. 23rd Ann. Conf. Neural Information Processing Systems (Vancouver, Canada), December 2009.
 Optimal Quantization of Random Measurements in Compressed Sensing
J. Z. Sun and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Seoul, Korea), JuneJuly 2009, pp. 610.
DOI: 10.1109/ISIT.2009.5205695
 Quantization for Compressed Sensing Reconstruction
J. Z. Sun and V. K. Goyal, Proc. 8th Int. Conf. Sampling Theory and Applications (Marseille, France), May 2009.
 Estimating Signals with Finite Rate of Innovation From Noisy Samples: A Stochastic Algorithm
V. F. Y. Tan and V. K. Goyal, Proc. 8th Int. Conf. Sampling Theory and Applications (Marseille, France), May 2009.
 Malleable Coding with EditDistance Cost
L. R. Varshney, J. Kusuma, and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Seoul, Korea), JuneJuly 2009, pp. 204208.
DOI: 10.1109/ISIT.2009.5205494
 Channels That Die
L. R. Varshney, S. K. Mitter, and V. K. Goyal, Proc.
47th Ann. Allerton Conf. Communication, Control, and Computing (Monticello, IL), SeptemberOctober 2009.
 Jitter Compensation in Sampling Via Polynomial Least Squares Estimation
D. S. Weller and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (Taipei, Taiwan), April 2009, pp. 33413344.
DOI:
10.1109/ICASSP.2009.4960340
 Mode Compression of Transmit and Receive Arrays for Parallel Imaging at 7T
V. Alagappan, K. Setsompop, J. R. Polimeni, A. Potthast, A. C. Zelinski, G. C. Wiggins, U. J. Fontius, F. Schmitt, E. Adalsteinsson, and L. L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Toronto, Canada), May 2008, p. 619.
 On Subspace Structure in Source and Channel Coding
A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Toronto, Canada), July 2008, pp. 19821986. DOI: 10.1109/ISIT.2008.4595336
 Resolution Limits of Sparse Coding in High Dimensions
A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. 22nd Ann. Conf. Neural Information Processing Systems (Vancouver, Canada), December 2008, pp. 449456.
 Reconstruction of Channelized Facies Using Sparsity Constraints
B. Jafarpour, V. K. Goyal. and W. T. Freeman, Proc. Soc. Exploration Geophysicists Annual Meeting (Las Vegas, NV), November 2008, pp. 15461550. DOI: 10.1190/1.3059208
 HighResolution Distributed Functional Quantization
V. Misra, V. K. Goyal, and L. R. Varshney, Proc. Information Theory and Applications Workshop (La Jolla, CA), JanuaryFebruary 2008, pp. 531534. DOI: 10.1109/ITA.2008.4601035
 HighResolution Functional Quantization
V. Misra, V. K. Goyal, and L. R. Varshney, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2008, pp. 113122. DOI: 10.1109/DCC.2008.100
 Minimum Mean Bayes Risk Error Quantization of Prior Probabilities
K. R. Varshney and L. R. Varshney, Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (Las Vegas, NV), April 2008, pp. 34453448. DOI: 10.1109/ICASSP.2008.4518392
 Meeting Shannon: InformationTheoretic Thinking in Engineering and Science
L. R. Varshney, Proc. IEEE Information Theory Workshop (Porto, Portugal), May 2008, p. 5.
 Transporting Information and Energy Simultaneously
L. R. Varshney, Proc. IEEE Int. Symp. Information Theory (Toronto, Canada), July 2008, pp. 16121616.
DOI: 10.1109/ISIT.2008.4595260
 Specific Absorption Rate Studies of the Parallel Transmission of InnerVolume Selective Excitations at 7 Tesla
A. C. Zelinski, L. M. Angelone, V. K. Goyal, G. Bonmassar, E. Adalsteinsson, and L. L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Toronto, Canada), May 2008, p. 1315.
 Sparsity in MRI RF Excitation Pulse Design
A. C. Zelinski, V. K. Goyal, E. Adalsteinsson, and L. L. Wald, Proc. Conf. Information Sciences & Systems (Princeton, NJ), March 2008, pp. 252257. DOI:
10.1109/CISS.2008.4558531
 SparsityEnforced Joint Spiral Trajectory & RF Excitation Pulse Design
A. C. Zelinski, V. K. Goyal, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Toronto, Canada), May 2008, p. 1303.
 In Vivo B1+ Inhomogeneity Mitigation at 7 Tesla using SparsityEnforced SpatiallyTailored SliceSelective Excitation Pulses
A. C. Zelinski, K. Setsompop, V. Alagappan, V. K. Goyal, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Toronto, Canada), May 2008, p. 620.
 A Degenerate Birdcage Coil for Parallel Excitation
V. Alagappan, J. Nistler, E. Adalsteinsson, K. Setsompop, U. Fontius, A. Zelinski, M. Vester, G. Wiggins, F. Hebrank, W. Renz, F. Schmitt, and L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007, p. 1028.
 Comparison of Three Transmit Arrays for Parallel Transmit
V. Alagappan, E. Adalsteinsson, K. Setsompop, U. Fontius, A. Zelinski, G. Wiggins, F. Hebrank, F. Schmitt, and L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007, p. 165.
 Integer Polar Coordinates for Compression
D. E. Ba and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Nice, France), June 2007, pp. 11161120.
 RateDistortion Bounds for Sparse Approximation
A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. IEEE Statistical Signal Process. Workshop (Madison, WI), August 2007, pp. 254258.
DOI: 10.1109/SSP.2007.4301258
 On the RateDistortion Performance of Compressed Sensing
A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Honolulu, HI), April 2007, vol. III, pp. 885888.
DOI: 10.1109/ICASSP.2007.366822
 High Flip Angle Slice Selective Parallel RF Excitation on an 8Channel System at 3T
K. Setsompop, A. C. Zelinski, V. A. Alagappan, U. J. Fontius, F. Hebrank, F. Schmitt, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
 In vivo Parallel RF Excitation with B0 Correction
K. Setsompop, A. C. Zelinski, V. A. Alagappan, J. Nistler, U. J. Fontius, F. Hebrank, F. Schmitt, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
 Sparse Spokes Selective Design for B1 Inhomogeneity Correction at 7T
K. Setsompop, A. C. Zelinski, V. K. Goyal, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
 Performance of LDPC Codes Under Noisy MessagePassing Decoding
L. R. Varshney, Proc. IEEE Information Theory Workshop (Lake Tahoe, CA), September 2007, p. 178.
DOI: 10.1109/ITW.2007.4313070
 On Optimal Information Storage in Synapses
L. R. Varshney, D. B. Chklovskii, Proc. IEEE Information Theory Workshop (Lake Tahoe, CA), September 2007, p. 408.
DOI: 10.1109/ITW.2007.4313109
 On Universal Coding of Unordered Data
L. R. Varshney and V. K. Goyal, Proc. Workshop on Information Theory & Applications (La Jolla, CA), Jan.Feb. 2007.
DOI: 10.1109/ITA.2007.4357578
 Designing RF Pulses with Optimal Specific Absorption Rate (SAR) Characteristics and Exploring Excitation Fidelity, SAR and Pulse Duration Tradeoffs
A. C. Zelinski, V. K. Goyal, L. Angelone, G. Bonmassar, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
 Pulse Design Methods for Reduction of Specific Absorption Rate in Parallel RF Excitation
A. C. Zelinski, K. Setsompop, V. Alagappan, B. A. Gagoski, L. M. Angelone, G. Bonmassar, U. Fontius, F. Schmitt, E. Adalsteinsson, and L. L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
 Designing Fast 3D RF Excitations by Optimizing the Number, Placement and Weighting of Spokes in KSpace via a SparsityEnforcement Algorithm
A. C. Zelinski, K. Setsompop, V. K. Goyal, V. Alagappan, U. Fontius, F. Schmitt, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
 RF Pulse Design Methods for Reduction of Image Artifacts in Parallel RF Excitation: Comparison of 3 Techniques on a 3T Parallel Excitation System with 8 Channels
A. C. Zelinski, L. L. Wald, K. Setsompop, V. Alagappan, B. A. Gagoski, F. Hebrank, U. Fontius, F. Schmitt, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
 Nonlinear Transform Coding: Polar Coordinates Revisited
D. E. Ba and V. K. Goyal, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2006, p. 438.
DOI: 10.1109/DCC.2006.55
 Causal and Strictly Causal Estimation for Jump Linear Systems: An LMI Analysis
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Proc. Conf. Information Sciences & Systems (Princeton, NJ), March 2006, pp. 13021307.
DOI: 10.1109/CISS.2006.286665
 Multichannel Sampling of Parametric Signals with a Successive Approximation Property
J. Kusuma and V. K. Goyal, Proc. IEEE Int. Conf. on Image Process. (Atlanta, GA), October 2006, pp. 12651268.
DOI: 10.1109/ICIP.2006.312575
 Signal Parameter Estimation in the Presence of Timing Noise
J. Kusuma and V. K. Goyal, Proc. Conf. Information Sciences & Systems (Princeton, NJ), March 2006, pp. 984989.
DOI: 10.1109/CISS.2006.286609
 Toward a Source Coding Theory for Sets
L. R. Varshney and V. K. Goyal, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2006.
DOI: 10.1109/DCC.2006.78
 Winner of the 2006 Capocelli Prize (best studentauthored paper)
 Ordered and Disordered Source Coding
L. R. Varshney and V. K. Goyal, Proc. Workshop on Information Theory & Its Applications (La Jolla, CA), February 2006.
 Denoising Hyperspectral Imagery and Recovering Junk Bands using Wavelets and Sparse Approximation
A. C. Zelinski, V. K. Goyal, Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS) (Denver, CO), August 2006, pp. 387390.
DOI: 10.1109/IGARSS.2006.104
 Finalist in Student Prize Paper Competition
 Sparse Approximation, Denoising, and Large Random Frames
A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. Wavelets XI, part of the 2005 SPIE Optics & Photonics (San Diego, CA), JulyAug. 2005, vol. 5914.
DOI: 10.1117/12.615772
 Analysis of Denoising by Sparse Approximation with Random Frame Asymptotics
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Proc. IEEE Int. Symp. on Information Theory (Adelaide, Australia), September 2005, pp. 17061710.
DOI: 10.1109/ISIT.2005.1523636
 Estimation from Lossy Sensor Data: Jump Linear Modeling and Kalman Filtering
A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. Information Process. in Sensor Networks (Berkeley, CA) April 2004, pp. 251258.
DOI: 10.1109/IPSN.2004.1307345
 Robust Predictive Quantization: A New Analysis and Optimization Framework
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Proc. IEEE Int. Symp. on Information Theory (Chicago, IL), JuneJuly 2004, p. 427.
DOI: 10.1109/ISIT.2004.1365466
 Optimized Filtering and Reconstruction in Predictive Quantization with Losses
A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Proc. IEEE Int. Conf. on Image Process. (Singapore), October 2004, pp. 32453248.
DOI: 10.1109/ICIP.2004.1421805
 Iterative Projective Wavelet Methods for Denoising
A. K. Fletcher, V. K. Goyal, and K. Ramchandran, Proc. Wavelets X , part of the 2003 SPIE Int. Symp. on Optical Science & Technology (San Diego, CA), August 2003, vol. 5207, pp. 915.
DOI: 10.1117/12.507250
 On Multivariate Estimation by Thresholding
A. K. Fletcher, V. K. Goyal, and K. Ramchandran, Proc. IEEE Int. Conf. on Image Process. (Barcelona, Spain), September 2003, vol. 1, pp. 6164.
DOI: 10.1109/ICIP.2003.1246898
 Wavelet Denoising by Recursive Cycle Spinning
A. K. Fletcher, K. Ramchandran, and V. K. Goyal, Proc. IEEE Int. Conf. on Image Process. (Rochester, NY), September 2002, vol. 2, pp. 873876.
DOI: 10.1109/ICIP.2002.1040090
 Theorems and Counterexamples in Transform Coding
V. K. Goyal, Proc. DIMACS Workshop on Source Coding and Harmonic Analysis (New Brunswick, NJ), May 2002.
 Wave and Equation Based Rate Control Using Multicast Round Trip Time
M. Luby, V. K. Goyal, S. Skaria, and G. B. Horn, Proc. ACM SIGCOMM (Pittsburgh, PA), August 2002.
DOI: 10.1145/964725.633044
 Quantized Oversampled Filter Banks with Erasures
P. L. Dragotti, J. Kovacevic, and V. K. Goyal, Proc. Data Compression Conf. (Snowbird, UT), March 2001, pp. 173182.
DOI: 10.1109/DCC.2001.917148
 Optimal Permutation Codes for Uniform Sources
V. K. Goyal, S. A. Savari, and W. Wang, Proc. IEEE Int. Symp. on Information Theory (Washington, DC), June 2001, p. 30.
DOI: 10.1109/ISIT.2001.935893
 Bounds on the Achievable Region for Certain Multiple Description Coding Problems
R. Venkataramani, G. Kramer, and V. K. Goyal Proc. IEEE Int. Symp. on Information Theory (Washington, DC), June 2001, p. 148.
DOI: 10.1109/ISIT.2001.936011
 Successive Refinement on Trees: A Special Case of a New MD Coding Region
R. Venkataramani, G. Kramer, and V. K. Goyal, Proc. Data Compression Conf. (Snowbird, UT), March 2001, pp. 293301.
DOI: 10.1109/DCC.2001.917160
 HighRate Transform Coding: How High is High, and Does it Matter?
V. K. Goyal, Proc. IEEE Int. Symp. on Information Theory (Sorrento, Italy), June 2000, p. 207.
DOI: 10.1109/ISIT.2000.866505
 Multiple Description Lattice Vector Quantization: Variations and Extensions
J. A. Kelner, V. K. Goyal, and J. Kovacevic, Proc. Data Compression Conf. (Snowbird, UT), March 2000, pp. 480489.
DOI: 10.1109/DCC.2000.838188
 Optimal MultipleDescription Transform Coding of Gaussian Vectors
V. K. Goyal and J. Kovacevic, Proc. Data Compression Conf. (Snowbird, UT), March 1998, pp. 388397.
DOI: 10.1109/DCC.1998.672173
 Block Transform Adaptation By Stochastic Gradient Descent
V. K. Goyal and M. Vetterli, Proc. IEEE Digital Signal Process. Workshop (Bryce Canyon, UT), August 1998.
 Multiple Description Transform Coding: Robustness to Erasures Using Tight Frame Expansions
V. K. Goyal, J. Kovacevic, and M. Vetterli, Proc. IEEE Int. Symp. on Information Theory (Cambridge, MA), August 1998, p. 408.
DOI: 10.1109/ISIT.1998.709013
 Quantized Frame Expansions as SourceChannel Codes for Erasure Channels
V. K. Goyal, J. Kovacevic, and M. Vetterli, Proc. Wavelets & Applications Workshop (Ascona, Switzerland), Sept.Oct. 1998.
 Multiple Description Transform Coding of Images
V. K. Goyal, J. Kovacevic, R. Arean, and M. Vetterli, Proc. IEEE Int. Conf. on Image Process. (Chicago, IL), October 1998, vol. 1, pp. 674678.
DOI: 10.1109/ICIP.1998.723588
 Manipulating Rates, Complexity, and ErrorResilience with Discrete Transforms
V. K. Goyal and M. Vetterli, Conf. Rec. 32nd Asilomar Conf. on Signals, Systems, & Computers (Pacific Grove, CA), November 1998, vol. 1, pp. 457461.
DOI: 10.1109/ACSSC.1998.750905
 Multiple Descriptions: SourceChannel Coding Methods for Communications
J. Kovacevic and V. K. Goyal, Proc. 10th Tyrrhenian Int. Workshop on Digital Communication: Multimedia Communication (Ischia, Italy), September 1998.
 Dependent Coding in Quantized Matching Pursuit
V. K. Goyal and M. Vetterli, Proc. SPIE Conf. on Visual Communications and Image Process. (San Jose, CA), February 1997, vol. 3024, pt. 1, pp. 212.
DOI: 10.1117/12.263177
 Universal Transform Coding Based On Backward Adaptation
V. K. Goyal, J. Zhuang, and M. Vetterli, Proc. Data Compression Conf. (Snowbird, UT), March 1997, pp. 231240.
DOI: 10.1109/DCC.1997.582046
 ComputationDistortion Characteristics of Block Transform Coding
V. K. Goyal and M. Vetterli, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Munich, Germany), April 1997, vol. 4, pp. 27292732.
DOI: 10.1109/ICASSP.1997.595353
 ComputationDistortion Characteristics of JPEG Encoding and Decoding
V. K. Goyal and M. Vetterli, Conf. Rec. 31st Asilomar Conf. on Signals, Systems, & Computers (Pacific Grove, CA), November 1997, vol. 1, pp. 229233.
DOI: 10.1109/ACSSC.1997.680170
 Consistency in Quantized Matching Pursuit
V. K. Goyal and M. Vetterli, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Atlanta, GA), May 1996, vol. 3, pp. 17871790.
DOI: 10.1109/ICASSP.1996.544213
 Efficient Representations with Quantized Matching Pursuit
V. K. Goyal, M. Vetterli, and N. T. Thao, Proc. Int. Conf. Analysis & Optimization of Systems: Images, Wavelets & PDEs (Paris, France), June 1996, pp. 305311.
 Transform Coding using Adaptive Bases and Quantization
V. K. Goyal, J. Zhuang, M. Vetterli, and C. Chan, Proc. IEEE Int. Conf. Image Process. (Lausanne, Switzerland), September 1996, vol. II, pp. 365368.
DOI: 10.1109/ICIP.1996.560834
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Tuesday, March 30, 2010.




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