Journal Papers
- E. Isufi, F. Gama, D. I Shuman, and S. Segarra, "Graph filters for signal processing and machine learning on graphs,” IEEE Transactions on Signal Processing, in press. [ PDF | BibTeX ]
- G. Leus, A. G. Marques, J. M. F. Moura, A. Ortega, and D. I Shuman, "Graph signal processing: History, development, impact, and outlook,” IEEE Signal Processing Magazine, vol. 40, no. 4, pp. 49-60, Jun. 2023. [ PDF | BibTeX ]
- Y. Chen, J. DeJong, T. Halverson, and D. I Shuman, "Signal processing on the permutahedron: Tight spectral frames for ranked data analysis," Journal of Fourier Analysis and Applications, vol. 27, art. 70, Aug. 2021. [ PDF | BibTeX | MATLAB Code Coming Soon ]
- D. I Shuman, "Localized spectral graph filter frames: A unifying framework, survey of design considerations, and numerical comparison," IEEE Signal Processing Magazine, vol. 37, no. 6, pp. 43-63, Nov. 2020. [ PDF | Extended Cut PDF | BibTeX | MATLAB Code ]
- T. Fan, D. I Shuman, S. Ubaru, and Y. Saad, "Spectrum-adapted polynomial approximation for matrix functions with applications in graph signal processing," Algorithms, vol. 13, no. 11, 295, pp. 1-22, Nov. 2020. [ PDF | BibTeX | MATLAB Code ]
- S. Li, Y. Jin, and D. I Shuman, "Scalable M-channel critically sampled filter banks for graph signals," IEEE Transactions on Signal Processing, vol. 67, no. 15, pp. 3954-3969, Jun. 2019. [ PDF | BibTeX | MATLAB Code ]
- D. I Shuman, P. Vandergheynst, D. Kressner, and P. Frossard, "Distributed signal processing via Chebyshev polynomial approximation," IEEE Transactions on Signal and Information Processing over Networks, vol. 4, no. 4, pp. 736-751, Dec. 2018. [ PDF | BibTeX | MATLAB Code ]
- N. Perraudin, B. Ricaud, D. I Shuman, and P. Vandergheynst, "Global and local uncertainty principles for signals on graphs," APSIPA Transactions on Signal and Information Processing, Apr. 2018. [ PDF | BibTeX | MATLAB Code ]
- D. I Shuman, M. J. Faraji, and P. Vandergheynst, "A multiscale pyramid transform for graph signals," IEEE Transactions on Signal Processing, vol. 64, no. 8, pp. 2119-2134, Apr. 2016. [ PDF | BibTeX | MATLAB Code ]
- D. I Shuman, B. Ricaud, and P. Vandergheynst, "Vertex-frequency analysis on graphs," Applied and Computational Harmonic Analysis, vol. 40, no. 2, pp. 260-291, Mar. 2016. [ PDF | BibTeX ]
- D. I Shuman, C. Wiesmeyr, N. Holighaus, and P. Vandergheynst, "Spectrum-adapted tight graph wavelet and
vertex-frequency frames,"
IEEE Transactions on Signal Processing, vol. 63, no. 16, pp. 4223-4235 , Aug. 2015.
[ Double Column PDF | Single Column PDF | BibTeX | MATLAB Code ] - D. Thanou, D. I Shuman, and P. Frossard, "Learning parametric dictionaries for signals on graphs," IEEE Transactions on Signal Processing, vol. 62, no. 15, pp. 3849-3862, Aug. 2014. [ PDF | BibTeX | MATLAB Code ]
- D. I Shuman, S. K. Narang, P. Frossard, A. Ortega, and P. Vandergheynst, "The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains," IEEE Signal Processing Magazine, vol. 30, no. 3, pp. 83-98, May 2013. [ PDF | BibTeX ]
- D. I Shuman, M. Liu, and O. Q. Wu, "Energy-efficient transmission scheduling with strict
underflow constraints,"
IEEE Transactions on Information Theory, vol. 57, no. 3, pp. 1344-1367, Mar. 2011.
[ PDF | BibTeX ]
NB: Here is a slightly different version of this paper emphasizing the inventory control perspective, and in particular the differences between multi-item inventory models with stochastic ordering costs and those with deterministic ordering costs. [ PDF ] - M. Moghaddam, D. Entekhabi, Y. Goykhman, K. Li, M. Liu, A. Mahajan, A. Nayyar, D. Shuman, and D. Teneketzis, "A wireless soil moisture smart sensor web using physics-based optimal control: Concept and initial demonstrations," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 3, no. 4, pp. 522-535, Dec. 2010. [ PDF | BibTeX ]
- D. I Shuman, A. Nayyar, A. Mahajan, Y. Goykhman, K. Li, M. Liu, D. Teneketzis, M. Moghaddam, and D. Entekhabi, "Measurement scheduling for soil moisture sensing: From physical models to optimal control," Proceedings of the IEEE, vol. 98, no. 11, pp. 1918-1933, Nov. 2010. [ PDF | BibTeX ]
Conference Papers
- L. Fan, D. I Shuman, S. Ubaru, and Y. Saad, "Spectrum-adapted polynomial approximation for matrix functions," in Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2019. [ PDF | BibTeX | Slides | MATLAB Code ]
- Y. Jin and D. I Shuman, "An M-channel critically sampled filter bank for graph signals," in Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP), Mar. 2017, pp. 3909-3913. [ PDF | BibTeX | Slides]
- D. Thanou, D. I Shuman, and P. Frossard, "Parametric dictionary learning for graph signals," in Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), Austin, TX, Dec. 2013. [ PDF | BibTeX ]
- B. Ricaud, D. I Shuman, and P. Vandergheynst, "On the sparsity of wavelet coefficients for signals on graphs," in Proceedings of SPIE Wavelets and Sparsity, San Diego, CA, Aug. 2013. [ PDF | BibTeX | Slides ]
- D. I Shuman, B. Ricaud, and P. Vandergheynst, "A windowed graph Fourier transform," in Proceedings of the IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, MI, Aug. 2012, pp. 133-136. [ PDF | BibTeX | Poster ]
- D. I Shuman, P. Vandergheynst, and P. Frossard, "Chebyshev polynomial approximation for distributed signal processing," in Proceedings of
the IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), Barcelona, Spain, Jun. 2011.
[ PDF | BibTeX | Slides ] - D. I Shuman, M. J. Faraji, and P. Vandergheynst, "Semi-supervised learning with spectral graph wavelets," in Proceedings of the International Conference on Sampling Theory and Applications (SampTA), Singapore, May 2011. [ PDF | BibTeX ]
- D. I Shuman and M. Liu, "Dynamic clock calibration via temperature measurement," in Proceedings of the IEEE Conference on Decision and Control (CDC), Shanghai, China, Dec. 2009, pp. 2082-2087. [ PDF | BibTeX ]
- M. Moghaddam, D. Entekhabi, Y. Goykhman, M. Liu, A. Mahajan, A. Nayyar, D. Shuman, and D. Teneketzis, "A soil moisture smart sensor web using data assimilation and optimal control: Formulation and first laboratory demonstration," in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, Jul. 2008, vol. 5, pp. 140-143. [ PDF | BibTeX ]
- M. Moghaddam, D. Entekhabi, L. Farhadi, Y. Goykhman, M. Liu, A. Mahajan, A. Nayyar, D. Shuman, and D. Teneketzis, "Initial analyses and demonstration of a soil moisture smart sensor web," in Proceedings of the Earth Science Technology Conference (ESTC), East Adelphi, Jun. 2008. [ PDF | BibTeX ]
- D. Shuman and M. Liu, "Energy-efficient transmission scheduling for wireless media streaming with strict underflow constraints," in Proceedings of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Berlin, Germany Apr. 2008, pp. 354-359. [ PDF | BibTeX | Slides ]
- D. Shuman and M. Liu, "Optimal sleep scheduling for a wireless sensor network node," in Proceedings of the Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 2006, pp. 1337-1341. [ PDF | BibTeX | Slides ]
Book Chapter
- D. I Shuman and M. Liu, "Opportunistic scheduling with deadline constraints in wireless networks," in Performance Models and Risk Management
in Communication Systems, N. Gulpinar, P. Harrison, and B. Rustem, Eds, vol. 46 of Optimization and Its Applications,
pp. 127-155. New York: Springer, 2010.
[ Springer Link | BibTeX ]
Thesis
- D. I Shuman, "From sleeping to stockpiling: Energy conservation via stochastic scheduling in wireless networks," Ph.D. dissertation, University of Michigan, Ann Arbor, 2010. [ PDF | BibTeX | Slides ]
Technical Reports
- D. I Shuman, M. Liu, and O. Q. Wu, "Energy-efficient transmission scheduling with strict underflow constraints," University of Michigan, EECS Technical Report CGR 10-01, Feb. 2010. [ PDF | BibTeX ]
- D. Shuman and M. Liu, "Optimal sleep scheduling for a wireless sensor network node," University of Michigan, EECS Technical Report CSPL 377, Oct. 2006.
[ PDF | BibTeX ]
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