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Natelson, Douglas, Li, Yajing and Herzog, Joseph B.. (2013). "Nanogap structures: combining enhanced Raman spectroscopy and electronic transport." Physical Chemistry Chemical Physics, vol. 15. pp. 5262. 10.1039/c3cp44142c.
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Robinson, Jacob T., Jorgolli, Marsela and Park, Hongkun. (2013). "Nanowire electrodes for high-density stimulation and measurement of neural circuits." Frontiers in Neural Circuits, vol. 7. no. 38, 10.3389/fncir.2013.00038.
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R. G. Baraniuk, R. A. DeVore, G. Kyriazis and X. M. Yu, "Near Best Tree Approximation," Advances in Computational Mathematics, vol. 16, pp. 357-373, 2002.
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B. Haller, J. R. Cavallaro and B. Aazhang,"Near-Far Resistant Code Synchronization For CDMA systems - An Implementation Perspective," in International Conference on Telecommunications,, pp. 441-448.
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Fan, Jonathan A., Bao, Kui, Lassiter, J. Britt, Bao, Jiming, Halas, Naomi J., Nordlander, Peter and Capasso, Federico. (2012). "Near-Normal Incidence Dark-Field Microscopy Applications to Nanoplasmonic Spectroscopy." Nano Letters, vol. 12. pp. 2817−2821. dx.doi.org/10.1021/nl300160y.
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S. Sarvotham, R. H. Riedi and R. G. Baraniuk, "Network and User Driven Alpha-Beta Onâ Off Source Model for Network Traffic," Computer Networks, vol. 48, no. 3, pp. 335-350, 2005.
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A. Khoshnevis and A. Sabharwal,"Network Channel Estimation in Cooperative Wireless Networks," in Canadian Workshop on Information Theory,
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M. J. Coates and R. D. Nowak,"Network Loss Inference Using Unicast End-to-End Measurement," in ITC Conference on IP Traffic, Modeling and Management,, pp. 28-1 to 28-9.
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R. H. Riedi, V. J. Ribeiro, M. Crouse and R. G. Baraniuk,"Network Traffic Modeling using a Multifractal Wavelet Model," in European Congress of Mathematics,, pp. 609-618.
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R. H. Riedi, M. Crouse, V. J. Ribeiro and R. G. Baraniuk,"Network Traffic Modeling using a Multifractal Wavelet Model," in IEEE International Symposium on Digital Signal Processing for Communication Systems (DSPCS),
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D. Johnson, "Neural population structures and consequences for neural coding," Journal of Computational Neuroscience, 2002.
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M. Lang and B. Frenzel, "A New and Efficient Program for Finding All Polynomial Roots," Rice University ECE Technical Report, no. TR93-08, 1993.
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Y. Wan and R. D. Nowak,"New Bayesian Model Averaging Framework for Wavelet-Based Signal Processing," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
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J. E. Odegard and C. S. Burrus,"New class of wavelets for signal approximation," in IEEE International Symposium on Circuits and Systems (ISCAS),
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R. G. Baraniuk and D. L. Jones,"New Dimensions In Wavelet Analysis," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. 137-140.
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M. L. Visinsky, I. D. Walker and J. R. Cavallaro,"New Dynamic Model-Based Fault Detection Thresholds for Robot Manipulators," in IEEE International Conference on Robotics and Automation, 1994, pp. 1388-1395.
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D. Rajan and B. Aazhang,"New Estimation Techniques for a class of chaotic signals," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. 197-200.
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F. Fernandes, R. van Spaendonck and C. S. Burrus, "A New Framework for Complex Wavelet Transforms," IEEE Transactions on Signal Processing, 2003.
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M. Erdelyi, C. Sengupta, Z. Bor, J. R. Cavallaro, M. Kido, M. C. Smayling, F. K. Tittel, W. L. Wilson and G. Szabo,"A New Interferometric Phase-Shifting Technique for Sub-half-micron Laser Microlithography," in SPIE Conference on Optical/Laser Microlithography VIII, 1995, pp. 827-837.
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M. Lexa and D. Johnson,"A new look at the informational gain of soft decisions," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),