Browse this collection by:
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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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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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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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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. 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),
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I. Goodman and D. Johnson,"New multivariate dependence measures and applications to neural ensembles," in Statistical Signal Processing Workshop,
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R. G. Baraniuk and D. L. Jones,"New Signal-Space Orthonormal Bases via the Metaplectic Transform," in IEEE-SP International Symposium on Time-frequency and Time-scale Analysis,, pp. 339-342.
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M. Lang, H. Guo, J. E. Odegard, C. S. Burrus and R. Wells,"Noise Reduction Using an Undecimated Discrete Wavelet Transform," in IEEE Signal Processing Letters,
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F. Fernandes, M. Wakin and R. G. Baraniuk,"Non-Redundant, Linear-Phase, Semi-Orthogonal, Directional Complex Wavelets," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. 953-956.
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M. Lang and J. Bamberger, "Nonlinear phase FIR filter design with minimum LS error and additional constraints," EURASIP Signal Processing, 1994.
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M. Lang, H. Guo, J. E. Odegard, C. S. Burrus and R. Wells, "Nonlinear Processing of a Shift Invariant DWT for Noise Reduction," Rice University CML Technical Report, no. 95-03, 1995.
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M. Lang, H. Guo, J. E. Odegard, C. S. Burrus and R. Wells,"Nonlinear Processing of a Shift Invariant DWT for Noise Reduction," in SPIE Symp. OE/Aerospace Sensing and Dual Use Photonics, Algorithm for Synthetic Aperture Radar Image,
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J. E. Odegard, M. Lang, H. Guo, R. A. Gopinath and C. S. Burrus,"Nonlinear Wavelet Processing for Enhancement of Images," in Rice University CML Technical Report,