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David I. Shuman
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2020 – today
- 2024
- [j12]Elvin Isufi
, Fernando Gama
Graph Filters for Signal Processing and Machine Learning on Graphs. IEEE Trans. Signal Process. 72: 4745-4781 (2024) - 2022
- [i15]Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra
Graph Filters for Signal Processing and Machine Learning on Graphs. CoRR abs/2211.08854 (2022) - 2021
- [i14]Ellen Chen, Jennifer DeJong, Tom Halverson, David I Shuman:
Signal Processing on the Permutahedron: Tight Spectral Frames for Ranked Data Analysis. CoRR abs/2103.04150 (2021) - 2020
- [j11]Tiffany Fan
Spectrum-Adapted Polynomial Approximation for Matrix Functions with Applications in Graph Signal Processing. Algorithms 13(11): 295 (2020) - [j10]David I. Shuman
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison. IEEE Signal Process. Mag. 37(6): 43-63 (2020) - [i13]David I Shuman:
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison. CoRR abs/2006.11220 (2020)
2010 – 2019
- 2019
- [j9]Shuni Li, Yan Jin, David I. Shuman
Scalable M-Channel Critically Sampled Filter Banks for Graph Signals. IEEE Trans. Signal Process. 67(15): 3954-3969 (2019) - [c8]Li Fan, David I Shuman, Shashanka Ubaru, Yousef Saad:
Spectrum-adapted Polynomial Approximation for Matrix Functions. ICASSP 2019: 4933-4937 - 2018
- [j8]David I. Shuman
Distributed Signal Processing via Chebyshev Polynomial Approximation. IEEE Trans. Signal Inf. Process. over Networks 4(4): 736-751 (2018) - [i12]Li Fan, David I Shuman, Shashanka Ubaru, Yousef Saad:
Spectrum-Adapted Polynomial Approximation for Matrix Functions. CoRR abs/1808.09506 (2018) - 2017
- [c7]Yan Jin, David I. Shuman:
An M-channel critically sampled filter bank for graph signals. ICASSP 2017: 3909-3913 - 2016
- [j7]David I. Shuman
A Multiscale Pyramid Transform for Graph Signals. IEEE Trans. Signal Process. 64(8): 2119-2134 (2016) - [i11]Yan Jin, David I. Shuman:
An $M$-Channel Critically Sampled Filter Bank for Graph Signals. CoRR abs/1608.03171 (2016) - 2015
- [j6]David I. Shuman
Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames. IEEE Trans. Signal Process. 63(16): 4223-4235 (2015) - 2014
- [j5]Dorina Thanou, David I. Shuman
Learning Parametric Dictionaries for Signals on Graphs. IEEE Trans. Signal Process. 62(15): 3849-3862 (2014) - [i10]Dorina Thanou, David I. Shuman, Pascal Frossard:
Learning parametric dictionaries for graph signals. CoRR abs/1401.0887 (2014) - [i9]Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst:
UNLocBoX A matlab convex optimization toolbox using proximal splitting methods. CoRR abs/1402.0779 (2014) - [i8]Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond:
GSPBOX: A toolbox for signal processing on graphs. CoRR abs/1408.5781 (2014) - 2013
- [j4]David I. Shuman
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains. IEEE Signal Process. Mag. 30(3): 83-98 (2013) - [c6]Dorina Thanou, David I. Shuman
Parametric dictionary learning for graph signals. GlobalSIP 2013: 487-490 - [i7]David I. Shuman, Benjamin Ricaud, Pierre Vandergheynst:
Vertex-Frequency Analysis on Graphs. CoRR abs/1307.5708 (2013) - [i6]David I. Shuman, Mohammad Javad Faraji, Pierre Vandergheynst:
A Framework for Multiscale Transforms on Graphs. CoRR abs/1308.4942 (2013) - [i5]David I. Shuman, Christoph Wiesmeyr, Nicki Holighaus, Pierre Vandergheynst:
Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames. CoRR abs/1311.0897 (2013) - 2012
- [c5]David I. Shuman
A windowed graph Fourier transform. SSP 2012: 133-136 - [i4]David I. Shuman, Sunil K. Narang, Pascal Frossard, Antonio Ortega, Pierre Vandergheynst:
Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Data Domains. CoRR abs/1211.0053 (2012) - 2011
- [j3]David I. Shuman
Energy-Efficient Transmission Scheduling With Strict Underflow Constraints. IEEE Trans. Inf. Theory 57(3): 1344-1367 (2011) - [c4]David I. Shuman
Chebyshev polynomial approximation for distributed signal processing. DCOSS 2011: 1-8 - [i3]David I. Shuman, Pierre Vandergheynst, Pascal Frossard:
Chebyshev Polynomial Approximation for Distributed Signal Processing. CoRR abs/1105.1891 (2011) - [i2]David I. Shuman, Pierre Vandergheynst, Pascal Frossard:
Distributed Signal Processing via Chebyshev Polynomial Approximation. CoRR abs/1111.5239 (2011) - 2010
- [j2]David I. Shuman
Measurement Scheduling for Soil Moisture Sensing: From Physical Models to Optimal Control. Proc. IEEE 98(11): 1918-1933 (2010) - [j1]Mahta Moghaddam
A Wireless Soil Moisture Smart Sensor Web Using Physics-Based Optimal Control: Concept and Initial Demonstrations. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 3(4-1): 522-535 (2010)
2000 – 2009
- 2009
- [c3]David I. Shuman, Mingyan Liu:
Dynamic clock calibration via temperature measurement. CDC 2009: 2082-2087 - [i1]David I. Shuman, Mingyan Liu:
Energy-Efficient Transmission Scheduling with Strict Underflow Constraints. CoRR abs/0908.1774 (2009) - 2008
- [c2]Mahta Moghaddam
A Soil Moisture Smart Sensor Web using Data Assimilation and Optimal Control: Formulation and First Laboratory Demonstration. IGARSS (5) 2008: 140-143 - [c1]David I. Shuman, Mingyan Liu
Energy-efficient transmission scheduling for wireless media streaming with strict underflow constraints. WiOpt 2008: 354-359
Coauthor Index
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