[1] Jayant Apte and John MacLaren Walsh, “Constrained Linear Representability of Polymatroids and Algorithms for Computing Achievability Proofs in Network Coding,” IEEE Trans. Inform. Theory, Submitted May 15, 2016. [Online]. Available: http://arxiv.org/abs/1605.04598
[2] Mengke Hu, David Cinciruk, and John MacLaren Walsh, “Improving Automated Patent Claim Parsing: Dataset, System, and Experiments,” Computational Linguistics, Submitted May 5, 2016. [Online]. Available: http://arxiv.org/abs/1605.01744
[3] Yunshu Liu, Congduan Li, and John MacLaren Walsh, “Mapping the Region of Entropic Vectors with Support Enumeration & Information Geometry,” IEEE Trans. Inform. Theory, Submitted December 08, 2015. [Online]. Available: http://arxiv.org/abs/1512.03324
[4] Congduan Li, Steven Weber, and John Walsh, “On Multi-source Networks: Enumeration, Rate Region Computation, and Hierarchy,” IEEE Trans. Inform. Theory, submitted July 21, 2015. [Online]. Available: http://arxiv.org/abs/1507.05728
[5] Nan Xie, John MacLaren Walsh, Steven Weber, “Properties of an Aloha-like stability region,” IEEE Trans. Inform. Theory, Submitted on August 15, 2014. Reviews received June 22, 2015. Revised September 21, 2015. 2nd Review received April 20, 2016. [Online]. Available: http://arxiv.org/abs/1408.3469
[6] Congduan Li, Steven Weber, and John MacLaren Walsh, “On Multilevel Diversity Coding Systems,” IEEE Trans. Inform. Theory, Submitted on July 21, 2014. Reviews received January 6, 2016, revised April 4, 2016. [Online]. Available: http://arxiv.org/abs/1407.5659
[7] C. Maina and J. M. Walsh, “Log Spectra Enhancement using Speaker Dependent Priors for Speaker Verification,” IEEE Trans. Audio, Speech, Language Processing., submitted March 14, 2011. Revised July 15, 2011. 2nd Review received September, 2011. Undergoing further revision.
[1] Jie Ren, Bradford Boyle, Gwanmo Ku, Steven Weber, John MacLaren Walsh, “Overhead Performance Tradeoffs – A Resource Allocation Perspective,” IEEE Trans. Inform. Theory, To Appear. Submitted on August 14, 2014. Reviews received July 18, 2015. Revised October 16, 2015. Accepted January 16, 2016. [Online]. Available: http://dx.doi.org/10.1109/TIT.2016.2524576
[2] Bradford D. Boyle, Jie Ren, John MacLaren Walsh, and Steven Weber, “Interactive Scalar Quantization for Distributed Resource Allocation,” IEEE Trans. Signal Processing, vol. 64, no. 5, pp. 1243–1256, Mar. 2016. [Online]. Available: http://dx.doi.org/10.1109/TSP.2015.2483479
[3] G. Ku, J. Ren, and J. M. Walsh, “Computing the Rate Distortion Region for the CEO Problem with Independent Sources,” IEEE Trans. Signal Processing, vol. 63, no. 3, pp. 567–575, Mar. 2015. [Online]. Available: http://dx.doi.org/10.1109/TSP.2014.2379631
[4] Gwanmo Ku and John MacLaren Walsh, “Resource Allocation and Link Adaptation in LTE & LTE Advanced: A Tutorial,” IEEE Communications Surveys and Tutorials, vol. 17, no. 3, pp. 1605–1633, 2015. [Online]. Available: http://dx.doi.org/10.1109/COMST.2014.2383691
[5] S. Ramanan and J. M. Walsh, “Practical Codes for Collaborative Estimation,” IEEE Trans. Signal Processing, vol. 60, no. 6, pp. 3203–3216, June 2012. [Online]. Available: http://dx.doi.org/10.1109/TSP.2012.2189765
[6] J. M. Walsh and S. Weber, “A Recursive Construction of the Set of Binary Entropy Vectors and Related Inner Bounds for the Entropy Region,” IEEE Trans. Inform. Theory, vol. 57, no. 10, pp. 6356–6363, Oct. 2011. [Online]. Available: http://dx.doi.org/10.1109/TIT.2011.2165817
[7] J. M. Walsh, S. P. Weber, J. C. de Oliveira, A. Eryilmaz, M. Médard, “Trading Rate for Delay at the Application and Transport Layers (Guest Editorial),” IEEE J. Select. Areas Commun., vol. 29, no. 5, pp. 913–915, May 2011. [Online]. Available: http://dx.doi.org/10.1109/JSAC.2011.110501
[8] C. Maina and J. M. Walsh, “Joint Speech Enhancement and Speaker Identification Using Approximate Bayesian Inference,” IEEE Trans. Audio, Speech, Language Processing., vol. 19, no. 6, pp. 1517–1529, Aug. 2011. [Online]. Available: http://dx.doi.org/10.1109/TASL.2010.2092767
[9] J. M. Walsh and P. A. Regalia, “On the relationship between belief propagation decoding and joint maximum likelihood detection,” IEEE Trans. Commun., vol. 58, no. 10, pp. 2753–2758, Oct. 2010. [Online]. Available: http://dx.doi.org/10.1109/TCOMM.2010.082010.080138
[10] J. M. Walsh and P. A. Regalia, “Belief Propagation, Dykstra’s Algorithm, and Iterated Information Projections,” IEEE Trans. Inform. Theory, vol. 56, no. 8, pp. 4114–4128, Aug. 2010. [Online]. Available: http://dx.doi.org/10.1109/TIT.2010.2050833
[11] S. Ramanan and J. M. Walsh, “Distributed Estimation of Channel Gains in Wireless Sensor Networks,” IEEE Trans. Signal Processing, vol. 58, no. 6, pp. 3097–3107, June 2010. [Online]. Available: http://dx.doi.org/10.1109/TSP.2010.2044840
[12] J. M. Walsh, S. Weber, and C. wa Maina, “Optimal Rate Delay Tradeoffs and Delay Mitigating Codes for Multipath Routed and Network Coded Networks,” IEEE Trans. Inform. Theory, vol. 55, no. 12, pp. 5491–5510, Dec. 2009. [Online]. Available: http://dx.doi.org/10.1109/TIT.2009.2032851
[13] P. A. Regalia and J. M. Walsh, “Optimality and Duality Aspects of the Turbo Decoder,” Proc. IEEE, vol. 95, no. 6, pp. 1362–1377, June 2007. [Online]. Available: http://dx.doi.org/10.1109/JPROC.2007.896495
[14] J. M. Walsh, P. A. Regalia, and C. R. Johnson, Jr., “Turbo Decoding as Iterative Constrained Maximum-Likelihood Sequence Detection,” IEEE Trans. Inform. Theory, vol. 52, no. 12, pp. 5426–5437, Dec. 2006. [Online]. Available: http://dx.doi.org/10.1109/TIT.2006.885535
[15] R. K. Martin, J. M. Walsh, and C. R. Johnson, Jr., “Low complexity mimo blind, adaptive channel shortening,” IEEE Trans. Signal Processing, vol. 53, no. 4, pp. 1324–1334, Apr. 2005. [Online]. Available: http://dx.doi.org/10.1109/TSP.2005.843697
[1] S. Torabi and J. M. Walsh, “Practical interactive scheme for extremum computation in distributed networks,” in 2016 International Symposium on Information Theory (ISIT), July 2016, to appear. [Online]. Available: http://www.ece.drexel.edu/walsh/Torabi_ISIT_2016.pdf
[2] ——, “Interactive quantization for extremum computation in collocated networks,” in Data Compression Conference (DCC), Mar. 2016, 1 page paper & presentation. [Online]. Available: http://www.ece.drexel.edu/walsh/Torabi_DCC_2016.pdf
[3] Y. Liu and J. M. Walsh, “Non-Isomorphic Distribution Supports for Calculating Entropic Vectors,” in 53rd Annual Allerton Conference on Communication, Control, and Computing, Oct. 2015. [Online]. Available: http://www.ece.drexel.edu/walsh/Liu_Allerton_2015.pdf
[4] C. Li and J. M. Walsh, “Network combination operations preserving the sufficiency of linear network codes,” in 2015 IEEE Information Theory Workshop (ITW2015), Jeju Island, Korea, Oct. 2015. [Online]. Available: http://www.ece.drexel.edu/walsh/Li_ITW_2015.pdf
[5] ——, “Computer aided proof for rate regions of independent distributed source coding problems,” in IEEE International Symposium on Network Coding (NetCod), Jun 2015. [Online]. Available: http://www.ece.drexel.edu/walsh/Li_NETCOD_2015.pdf
[6] J. Apte and J. M. Walsh, “Exploiting symmetry in computing polyhedral bounds on network coding rate regions,” in IEEE International Symposium on Network Coding (NetCod), Jun 2015. [Online]. Available: http://www.ece.drexel.edu/walsh/Apte_NETCOD_2015.pdf
[7] J. Apte and J. Walsh, “Symmetry in network coding,” in 2015 IEEE International Symposium on Information Theory (ISIT), June 2015. [Online]. Available: http://www.ece.drexel.edu/walsh/Apte_ISIT_2015.pdf
[8] Congduan Li, Steven Weber, John MacLaren Walsh, “Network Embedding Operations Preserving the Insufficiency of Linear Network Codes,” in 52nd Annual Allerton Conference on Communication, Control, and Computing, Oct. 2014. [Online]. Available: http://www.ece.drexel.edu/walsh/Li_Allerton_2014.pdf
[9] Jayant Apte, Congduan Li, and John MacLaren Walsh, “Algorithms for Computing Network Coding Rate Regions via Single Element Extensions of Matroids,” in IEEE International Symposium on Information Theory (ISIT 2014), July 2014, pp. 2306–2310. [Online]. Available: http://www.ece.drexel.edu/walsh/Apte_ISIT_2014.pdf
[10] Jayant Apte, Congduan Li, John MacLaren Walsh and Steven Weber, “Exact repair problems with multiple sources,” in The 48th annual IEEE Conference on Information Sciences and Systems(CISS), Mar. 2014. [Online]. Available: http://www.ece.drexel.edu/walsh/Jayant_cisspaper.pdf
[11] Bradford D. Boyle, John MacLaren Walsh and Steven Weber, “Distributed scalar quantizers for sub-band allocation,” in The 48th annual IEEE Conference on Information Sciences and Systems(CISS), Mar. 2014. [Online]. Available: http://www.ece.drexel.edu/walsh/Boyle-CISS-2014.pdf
[12] Jie Ren and John M. Walsh, “Interactive communication for resource allocation,” in The 48th annual IEEE Conference on Information Sciences and Systems(CISS), Mar. 2014. [Online]. Available: http://www.ece.drexel.edu/walsh/JR_ciss2014.pdf
[13] Congduan Li, John MacLaren Walsh, Steven Weber, “Matroid bounds on the region of entropic vectors,” in 51th Annual Allerton Conference on Communication, Control and Computing, Oct. 2013. [Online]. Available: http://www.ece.drexel.edu/walsh/Congduan_allerton13.pdf
[14] Yunshu Liu, John MacLaren Walsh, “Bounding the entropic region via information geometry,” in IEEE Information Theory Workshop, Sept. 2013. [Online]. Available: http://www.ece.drexel.edu/walsh/ITW2013_Liu.pdf
[15] Congduan Li, Jayant Apte, John MacLaren Walsh, Steven Weber, “A new computational approach for determining rate regions and optimal codes for coded networks,” in The 2013 IEEE International Symposium on Network Coding (NetCod 2013), June 2013. [Online]. Available: http://www.ece.drexel.edu/walsh/LiNetCod13.pdf
[16] Bradford D. Boyle, John MacLaren Walsh, Steven Weber, “Channel dependent adaptive modulation and coding without channel state information at the transmitter,” in 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013. [Online]. Available: http://www.ece.drexel.edu/walsh/BradICASSP13.pdf
[17] Congduan Li, John MacLaren Walsh, Steven Weber, “A computational approach for determining rate regions and codes using entropic vector bounds,” in 50th Annual Allerton Conference on Communication, Control and Computing, Oct. 2012. [Online]. Available: http://www.ece.drexel.edu/walsh/Allerton2012LJW.pdf
[18] Ciira wa Maina and John MacLaren Walsh, “Log Spectra Enhancement using Speaker Dependent Priors for Speaker Verification,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), May 2011. [Online]. Available: http://www.ece.drexel.edu/walsh/Maina_ICASSP_05_11.pdf
[19] Sivagnanasundaram Ramanan and John MacLaren Walsh, “Practical Codes for Lossy Compression when Side Information May be Absent,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), May 2011. [Online]. Available: http://www.ece.drexel.edu/walsh/Ramanan_ICASSP_05_11.pdf
[20] Ciira wa Maina and John MacLaren Walsh, “Compensating for Noise and Mismatch in Speaker Verification Systems Using Approximate Bayesian Inference,” in 45th Conference on Information Sciences and Systems CISS 2011, Mar. 2011. [Online]. Available: http://dx.doi.org/10.1109/CISS.2011.5766174
[21] Gwanmo Ku and John MacLaren Walsh, “Power Amplifier Nonlinearity Effects on OFDM Subcarrier Transmit Beamforming,” in IEEE Wireless Communications and Networking Conference (WCNC), Mar. 2011. [Online]. Available: http://dx.doi.org/10.1109/WCNC.2011.5779458
[22] Sivagnanasundaram Ramanan and John MacLaren Walsh, “Coding Perspectives for Collaborative Distributed Estimation Over Networks,” in 2010 Asilomar Conference on Signals, Systems, and Computers, Nov. 2010. [Online]. Available: http://www.ece.drexel.edu/walsh/Ramanan_Asilomar10.pdf
[23] John MacLaren Walsh and Steven Weber, “Relationships Among Bounds for the Region of Entropic Vectors in Four Variables,” in 2010 Allerton Conference on Communication, Control, and Computing, Sept. 2010. [Online]. Available: http://www.ece.drexel.edu/walsh/allerton10.pdf
[24] Ciira wa Maina and John MacLaren Walsh, “Joint Speech Enhancement and Speaker Identification Using Approximate Bayesian Inference,” in 44th Annual Conference on Information Sciences and Systems, Mar. 2010. [Online]. Available: http://www.ece.drexel.edu/walsh/Maina_CISS_10.pdf
[25] John MacLaren Walsh and Steven Weber, “A Recursive Construction of the Set of Binary Entropy Vectors,” in Forty-Seventh Annual Allerton Conference on Communication, Control, and Computing, Sept. 2009, pp. 545–552. [Online]. Available: http://www.ece.drexel.edu/walsh/binEntSetConf-v5-JW.pdf
[26] Ciira wa Maina and John MacLaren Walsh, “Joint Speech Enhancement and Speaker Identification Using Monte Carlo Methods,” in Interspeech 2009, Sept. 2009. [Online]. Available: http://www.ece.drexel.edu/walsh/Maina_Interspeech_09.pdf
[27] S. Ramanan and J. M. Walsh, “Distributed Estimation of Channel Gains in Wireless Sensor Networks,” in Forty-Second Asilomar Conference on Signals, Systems, and Computers, Oct. 2008. [Online]. Available: http://www.ece.drexel.edu/walsh/Ramanan_Asilomar_08.pdf
[28] J. M. Walsh and S. Weber, “Capacity Region of the Permutation Channel,” in 46th Annual Allerton Conference on Communication, Control, and Computing, Sept. 2008. [Online]. Available: http://www.ece.drexel.edu/walsh/walshAllerton08.pdf
[29] J. M. Walsh, P. A. Regalia, and S. Ramanan, “Optimality of Expectation Propagation Based Distributed Estimation for Wireless Sensor Network Initialization,” in 9th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), July 2008, pp. 620 – 624. [Online]. Available: http://www.ece.drexel.edu/walsh/WalshSpawc08.pdf
[30] J. M. Walsh, S. Weber, and C. Maina, “Optimal Rate Delay Tradeoffs for Multipath Routed and Network Coded Networks,” in IEEE International Symposium on Information Theory (ISIT), July 2008, pp. 682 – 686. [Online]. Available: http://www.ece.drexel.edu/walsh/WalshIsit08.pdf
[31] J. M. Walsh and P. A. Regalia, “Belief propagation distributed estimation in sensor networks: An optimized energy accuracy tradeoff,” in IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr. 2008, pp. 2297 – 2300. [Online]. Available: http://www.ece.drexel.edu/walsh/sensNetEst.pdf
[32] Y. E. Kim, J. M. Walsh, and T. M. Doll, “Comparison of a Joint Iterative Method for Multiple Speaker Identification with Sequential Blind Source Separation and Speaker Identification,” in Odyssey 2008: The Speaker and Language Recognition Workshop, Jan. 2008. [Online]. Available: http://www.ece.drexel.edu/walsh/Odyssey2008.pdf
[33] J. M. Walsh and S. Weber, “A Concatenated Network Coding Scheme for Multimedia Transmission,” in Fourth Workshop on Network Coding, Theory, and Applications (Netcod 2008), Jan. 2008, pp. 91–96. [Online]. Available: http://www.ece.drexel.edu/walsh/netcod08.pdf
[34] J. M. Walsh, “A completed information projection interpretation of expectation propagation,” in Neural Information Processing Systems Workshop on Approximate Bayesian Inference in Continuous/Hybrid Systems, 2007. [Online]. Available: http://www.ece.drexel.edu/walsh/epInfProjNips07.pdf
[35] J. M. Walsh and S. Weber, “Coding to reduce delay on a permutation channel,” in 45th Allerton Conference on Communication, Control, and Computing, Sept. 2007. [Online]. Available: http://www.ece.drexel.edu/walsh/allerton07.pdf
[36] J. M. Walsh, Y. E. Kim, and T. M. Doll, “Joint iterative multi-speaker identification and source separation using expectation propagation,” in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Oct. 2007, pp. 283 – 286. [Online]. Available: http://www.ece.drexel.edu/walsh/waspaa07.pdf
[37] J. M. Walsh and P. A. Regalia, “Expectation propagation for distributed estimation in sensor networks,” in 8th IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC), Helsinki, Finland, June 2007. [Online]. Available: http://www.ece.drexel.edu/walsh/spawc07.pdf
[38] J. M. Walsh, “EXIT and Density Evolution Analysis for Homogeneous Expectation Propagation,” in IEEE International Symposium on Information Theory, Nice, France, July 2007, pp. 876–880. [Online]. Available: http://www.ece.drexel.edu/walsh/isit07.pdf
[39] ——, “Density evolution for expectation propagation,” in International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 2, Honolulu, Hawaii, Apr. 2007, pp. II–545 – II–548. [Online]. Available: http://www.ece.drexel.edu/walsh/icassp07.pdf
[40] ——, “Dual optimality frameworks for expectation propagation,” in Proc. Seventh IEEE Int. Conf. on Sig. Proc. Adv. in Wireless Comm. (SPAWC), July 2006. [Online]. Available: http://www.ece.drexel.edu/walsh/spawc06.pdf
[41] J. M. Walsh and P. A. Regalia, “Iterative constrained maximum likelihood estimation via expectation propagation,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 2006, pp. V–713 – V–716. [Online]. Available: http://www.ece.drexel.edu/walsh/expctProp.pdf
[42] ——, “Connecting belief propagation with maximum likelihood detection,” in Fourth International Symposium on Turbo Codes and Related Topics, Munich, Germany, Apr. 2006. [Online]. Available: http://www.ece.drexel.edu/walsh/tcs06.pdf
[43] J. M. Walsh, P. A. Regalia, and C. R. Johnson, Jr., “Turbo decoding as constrained optimization,” in 43rd Allerton Conference on Communication, Control, and Computing., Sept. 2005. [Online]. Available: http://www.ece.drexel.edu/walsh/allerton05.pdf
[44] ——, “A convergence proof for the turbo decoder as an instance of the Gauss-Seidel iteration,” in IEEE Int. Symp. Inform. Theory, Adelaide, Australia, Sept. 2005, pp. 734 – 738. [Online]. Available: http://www.ece.drexel.edu/walsh/turboGS.pdf
[45] ——, “The turbo decoder as a least squares cost gradient descent,” in IEEE Conference on Signal Processing Advances in Wireless Communications (SPAWC), New York, NY, June 2005, pp. 675 – 679. [Online]. Available: http://www.ece.drexel.edu/walsh/turboGradDesc.pdf
[46] ——, “A refined information geometric interpretation of turbo decoding,” in International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelpha, PA, Mar. 2005, pp. V–713 – V–716. [Online]. Available: http://www.ece.drexel.edu/walsh/infGeoTurbo.pdf
[47] J. M. Walsh, R. K. Martin, A. G. Klein, N. S. Xenias, J. A. Pagnotta, and C. R. Johnson, Jr., “Necessary and sufficient conditions for perfect channel shortening and implications for interference mitigation,” in Proc. V IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lisbon, Portugal, July 2004, pp. 391 – 395. [Online]. Available: http://www.ece.drexel.edu/walsh/fscs.pdf
[48] R. K. Martin, J. M. Walsh, and C. R. Johnson, Jr., “Low complexity mimo blind adaptive channel shortening,” in Proc. The International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Quebec, May 2004, pp. IV–1073 – IV–1076. [Online]. Available: http://www.ece.drexel.edu/walsh/c14_frodo.pdf
[49] J. M. Walsh and C. R. Johnson, Jr., “Series feedforward interconnected adaptive devices,” in Proc. The International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2004, pp. II–445 – II–448. [Online]. Available: http://www.ece.drexel.edu/walsh/intercon.pdf
[50] J. M. Walsh, P. A. Regalia, and C. R. Johnson, Jr., “Joint synchronization and decoding exploiting the turbo principle,” in The 2004 Conference on Information Sciences and Systems, Mar. 2004. [Online]. Available: http://www.ece.drexel.edu/walsh/ciss2004.pdf
[1] Steven Weber, Congduan Li, John MacLaren Walsh, “Rate Region for A Class of Delay Mitigating Codes and P2P Networks,” in 46th Annual Conference on Information Sciences and Systems, Mar. 2012, (Invited Paper).
[2] Ciira wa Maina and John MacLaren Walsh, “Approximate Bayesian Robust Speech Processing,” in 45th Annual Asilomar Conference of Signals, Systems, and Computers, Nov. 2011. [Online]. Available: http://www.ece.drexel.edu/walsh/Maina_Asilomar_11.pdf
[3] C. wa Maina and J. M. Walsh, “A Cost Function Level Analysis of Autocorrelation Minimization Based Blind Adaptive Channel Shorteners,” in Forty-Second Asilomar Conference on Signals, Systems, and Computers, Oct. 2008, Invited Paper. [Online]. Available: http://www.ece.drexel.edu/walsh/Maina_Asilomar_08.pdf
[4] J. M. Walsh, R. K. Martin, and C. R. Johnson, Jr., “Convergence and Performance Issues for Autocorrelation Based Adaptive Channel Shortening,” in Fortieth Asilomar Conference on Signals, Systems, and Computers, Nov. 2006, pp. 238–242, Invited Paper. [Online]. Available: http://www.ece.drexel.edu/walsh/samConvPerf.pdf
[5] C. R. Johnson, Jr., R. K. Martin, J. M. Walsh, A. G. Klein, C. E. Orlicki, and T. Lin, “Blind channel shorteners, invited paper,” in Proc. The 13th IFAC Symposium on System Identification, Rotterdam, The Netherlands, Aug. 2003.
[6] W. Sethares, J. M. Walsh, and C. R. Johnson, Jr., “An adaptive view of timing and synchronization in telecommunication systems,” in Proceedings of the 45th IEEE International Midwest Symposium on Circuits and Systems (invited paper), 2002. [Online]. Available: http://www.ece.drexel.edu/walsh/CAS2002.pdf
[1] John MacLaren Walsh and Sivagnanasundaram Ramanan, “Coding Perspectives for Collaborative Distributed Estimation over Networks,” Dec. 2009, Adaptive Signal Processing and Information Theory Research Group Technical Report ASPITRG.TR.12.09.2. [Online]. Available: http://www.ece.drexel.edu/walsh/aspitrg_tr_12092.pdf
[2] J. M. Walsh, “Proof that the Global Optimum of the Relaxed Constrained Maximum Likelihood Detection Approaches a Point Mass at the MLSD as c → 0,” Dec. 2009, Adaptive Signal Processing and Information Theory Research Group Technical Note ASPITRG.TN.12.09.1. [Online]. Available: http://www.ece.drexel.edu/walsh/aspitrg_tn_12091.pdf
[1] John MacLaren Walsh, “Distributed Extremization: Fundamental Limits & Practical Schemes,” in Institut Henri Poincaré Thematic Program on the Nexus of Information and Computation Theories: Fundamental Inequalities, Feb. 2016. [Online]. Available: https://youtu.be/TUylQbjMP6c?list=PL9kd4mpdvWcAHARq6A-_tGxBIME31BVep
[2] ——, “Network Coding: Computation, Symmetry, and Hierarchy,” Feb. 2016, Seminar in Network Coding & Reliable Communications Group, Research Laboratory of Electronics at Massachusetts Institute of Technology. [Online]. Available: http://www.ece.drexel.edu/mit2016.pdf
[3] ——, “Network Coding: Computation, Symmetry, and Hierarchy,” in Institut Henri Poincaré Thematic Program on the Nexus of Information and Computation Theories: Fundamental Inequalities, Feb. 2016. [Online]. Available: https://www.youtube.com/watch?v=OblSpiXC0j0&index=11&list=PL9kd4mpdvWcAHARq6A-_tGxBIME31BVep
[4] ——, “Network Coding: Computation, Symmetry, and Hierarchy,” in 2016 Information Theory and Applications Workshop, Feb. 2016. [Online]. Available: http://www.ece.drexel.edu/walsh/ita2016.pdf
[5] ——, “Calculating rate regions for network coding and distributed storage via polyhedral projection and representable matroid enumeration,” Feb. 2014, 2014 Information Theory and Applications Workshop, University of California San Diego. [Online]. Available: http://www.ece.drexel.edu/walsh/WalshITA14.pdf
[6] ——, “Information Geometry, Polyhedral Computation, and Entropic Vectors,” in First Workshop on Entropy and Information Inequalities, The Chinese University of Hong Kong, Apr. 2013. [Online]. Available: http://www.youtube.com/watch?v=gYkS73jyvPU&feature=youtu.be
[7] ——, “Entropic Vectors: Polyhedral Computation and Information Geometry,” Feb. 2013, 2013 Information Theory and Applications Workshop, University of California San Diego. [Online]. Available: http://www.ece.drexel.edu/walsh/WalshITA13.pdf
[8] John MacLaren Walsh, S. Weber, L. Cimini, J. Garcia-Frias, “Overhead Performance Tradeoffs in Distributed Wireless Networks,” Dec. 2012, AFOSR Complex Networks Program Review. [Online]. Available: http://www.ece.drexel.edu/walsh/cnReview-Dec12.pdf
[9] John MacLaren Walsh, “Characterizing the Region of Entropic Vectors via Information Geometry,” Feb. 2012, 2012 Information Theory and Applications Workshop (ITA). [Online]. Available: http://www.ece.drexel.edu/walsh/walshITA12.pdf
[10] John MacLaren Walsh and Sivagnanasundaram Ramanan, “Fundamental Limits and Practical Codes for Collaborative Estimation,” Feb. 2011, 2011 Information Theory and Applications Workshop (ITA), University of California San Diego. [Online]. Available: http://www.ece.drexel.edu/walsh/walshITA11.pdf
[11] Leonard J. Cimini, John MacLaren Walsh, and Steven Weber, “Energy Efficient Distributed Wireless Resource Allocation,” Nov. 2010, Air Force Office of Scientific Research Complex Network Program Review. [Online]. Available: http://www.ece.drexel.edu/walsh/ciminiAFOSR10.pdf
[12] John MacLaren Walsh and Sivagnanasundaram Ramanan, “Perspectives for Collaborative Estimation over Networks,” July 2010, Presentation to McGill University ECE Dept. [Online]. Available: http://www.ece.drexel.edu/walsh/walshMcGill10.pdf
[13] John MacLaren Walsh and Steven Weber, “Tunable Inner Bounds for the Region of Entropy Vectors,” Feb. 2010, 2010 Information Theory and Applications Workshop, University of California San Diego. [Online]. Available: http://www.ece.drexel.edu/walsh/walshITA10.pdf
[14] Ciira wa Maina and John MacLaren Walsh, “Robust Speaker Recognition Using Approximate Bayesian Inference,” Dec. 2009, Demonstration at Neural Information Processing Symposium (NIPS) 2009.
[15] John MacLaren Walsh and Sivagnanasundaram Ramanan, “Perspectives for Collaborative Estimation over Networks,” Nov. 2009, Presentation to University of Delaware ECE Dept. [Online]. Available: http://www.ece.drexel.edu/walsh/walshDelaware09.pdf
[16] John MacLaren Walsh and Steven Weber, “An Inner Bound Technique on the Normalized Set of Entropy Vectors,” Sept. 2009, DARPA ITMANET Meeting, MIT. [Online]. Available: http://www.ece.drexel.edu/walsh/weberITMANET0909.pdf
[17] ——, “Properties of the Binary Entropy Vector Region,” Mar. 2009, DARPA ITMANET Meeting, Stanford University. [Online]. Available: http://www.ece.drexel.edu/walsh/weberITMANET0309.pdf
[18] John MacLaren Walsh, Steven Weber, Drakontas LLC, “Optimal Coded Information Network Design and Management via Improved Characterizations of the Binary Entropy Function,” Feb. 2009, Air Force Office of Scientific Research Complex Network Program Review. [Online]. Available: http://www.ece.drexel.edu/walsh/walshAFOSR09.pdf
[19] John MacLaren Walsh and Steven Weber, “ Capacity Region of the Permutation Channel ,” Sept. 2008, DARPA ITMANET Meeting, Arlington, VA. [Online]. Available: http://www.ece.drexel.edu/walsh/weberITMANET0908poster.pdf
[20] ——, “Fundamental Rate Delay Tradeoffs in Multipath Routed and Network Coded Networks,” Sept. 2008, DARPA ITMANET Meeting, Arlington, VA. [Online]. Available: http://www.ece.drexel.edu/walsh/weberITMANET0908.pdf
[21] Phil Regalia and John MacLaren Walsh, “Information Projection Algorithms and Belief Propagation,” June 2008, P. Dewilde Workshop, Wassenaar. [Online]. Available: http://www.ece.drexel.edu/walsh/regalia-wassenaar-talk.pdf
[22] John MacLaren Walsh, “Belief Propagation, Information Projections, and Dykstra’s Algorithm,” Apr. 2008, MIT Workshop on Geometric Approaches in Communications and Signal Processing. [Online]. Available: http://www.ece.drexel.edu/walsh/walshMITW08.pdf
[23] John MacLaren Walsh and Steven Weber, “Fundamental Rate Delay Tradeoffs in Multipath Routed and Network Coded Networks,” Apr. 2008, MIT Workshop on Geometric Approaches in Communications and Signal Processing. [Online]. Available: http://www.ece.drexel.edu/walsh/weberMITW08.pdf
[1] Yunshu Liu, “Extremal Entropy: Information Geometry, Numerical Entropy Mapping, and Machine Learning Application of Associated Conditional Independences,” Ph.D. dissertation, Drexel University, Philadelphia, PA, 2016. [Online]. Available: http://www.ece.drexel.edu/walsh/YunshuLiu_PhD.pdf
[2] Congduan Li, “On Multi-source Multi-Sink Hyperedge Networks: Enumeration, Rate Region Computation, and Hierarchy,” Ph.D. dissertation, Drexel University, Philadelphia, PA, 2015. [Online]. Available: http://www.ece.drexel.edu/walsh/CongduanLi_PhD.pdf
[3] Gwanmo Ku, “Efficient Control Signaling for Resource Allocation in OFDMA Networks,” Ph.D. dissertation, Drexel University, Philadelphia, PA, 2014. [Online]. Available: http://www.ece.drexel.edu/walsh/Ku_PhD.pdf
[4] Sivagnanasundaram Ramanan, “Collaborative Estimation in Networks,” Ph.D. dissertation, Drexel University, Philadelphia, PA, 2011. [Online]. Available: http://www.ece.drexel.edu/walsh/Ramanan_PhD.pdf
[5] Ciira wa Maina, “Approximate Bayesian Inference for Robust Speech Processing,” Ph.D. dissertation, Drexel University, Philadelphia, PA, 2011. [Online]. Available: http://www.ece.drexel.edu/walsh/Maina_PhD.pdf
[6] J. M. Walsh, “Distributed Iterative Decoding and Estimation via Expectation Propagation: Performance and Convergence,” Ph.D. dissertation, Cornell University, 2006. [Online]. Available: http://www.ece.drexel.edu/walsh/Walsh_PhDThesis.pdf
[7] ——, Distributed Adaptive Signal Processing: A Study of Series Feed-forward Binary Adaptive Compounds. M. S. Thesis. Cornell University, Jan. 2004. [Online]. Available: http://www.ece.drexel.edu/walsh/walsh.pdf