David I. Shuman

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 8

Top Topics

Signal Processing

Polynomial Approximation

Design Considerations

Top Venues

IEEE Trans. Signal Process.

IEEE Signal Process. Mag.

Publications

Elvin Isufi, Fernando Gama, David I. Shuman, Santiago Segarra
Graph Filters for Signal Processing and Machine Learning on Graphs. CoRR (2022)
David I. Shuman
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison. IEEE Signal Process. Mag. 37 (6) (2020)
Tiffany Fan, David I. Shuman, Shashanka Ubaru, Yousef Saad
Spectrum-Adapted Polynomial Approximation for Matrix Functions with Applications in Graph Signal Processing. Algorithms 13 (11) (2020)
Shuni Li, Yan Jin, David I. Shuman
Scalable M-Channel Critically Sampled Filter Banks for Graph Signals. IEEE Trans. Signal Process. 67 (15) (2019)
David I. Shuman, Pierre Vandergheynst, Daniel Kressner, Pascal Frossard
Distributed Signal Processing via Chebyshev Polynomial Approximation. IEEE Trans. Signal Inf. Process. over Networks 4 (4) (2018)
Yan Jin, David I. Shuman
An M-channel critically sampled filter bank for graph signals. ICASSP (2017)
Yan Jin, David I. Shuman
An $M$-Channel Critically Sampled Filter Bank for Graph Signals. CoRR (2016)
David I. Shuman, Mohammad Javad Faraji, Pierre Vandergheynst
A Multiscale Pyramid Transform for Graph Signals. IEEE Trans. Signal Process. 64 (8) (2016)
David I. Shuman, Christoph Wiesmeyr, Nicki Holighaus, Pierre Vandergheynst
Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames. IEEE Trans. Signal Process. 63 (16) (2015)
Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst
UNLocBoX A matlab convex optimization toolbox using proximal splitting methods. CoRR (2014)
Dorina Thanou, David I. Shuman, Pascal Frossard
Learning Parametric Dictionaries for Signals on Graphs. IEEE Trans. Signal Process. 62 (15) (2014)
Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond
GSPBOX: A toolbox for signal processing on graphs. CoRR (2014)
Dorina Thanou, David I. Shuman, Pascal Frossard
Learning parametric dictionaries for graph signals. CoRR (2014)
Dorina Thanou, David I. Shuman, Pascal Frossard
Parametric dictionary learning for graph signals. GlobalSIP (2013)
David I. Shuman, Christoph Wiesmeyr, Nicki Holighaus, Pierre Vandergheynst
Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames. CoRR (2013)
David I. Shuman, Sunil K. Narang, Pascal Frossard, Antonio Ortega, Pierre Vandergheynst
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) (2013)
David I. Shuman, Mohammad Javad Faraji, Pierre Vandergheynst
A Framework for Multiscale Transforms on Graphs. CoRR (2013)
David I. Shuman, Benjamin Ricaud, Pierre Vandergheynst
Vertex-Frequency Analysis on Graphs. CoRR (2013)
David I. Shuman, Benjamin Ricaud, Pierre Vandergheynst
A windowed graph Fourier transform. SSP (2012)
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 (2012)
David I. Shuman, Pierre Vandergheynst, Pascal Frossard
Distributed Signal Processing via Chebyshev Polynomial Approximation CoRR (2011)
David I. Shuman, Mingyan Liu, Owen Q. Wu
Energy-Efficient Transmission Scheduling With Strict Underflow Constraints. IEEE Trans. Inf. Theory 57 (3) (2011)
David I. Shuman, Pierre Vandergheynst, Pascal Frossard
Chebyshev polynomial approximation for distributed signal processing. DCOSS (2011)
David I. Shuman, Pierre Vandergheynst, Pascal Frossard
Chebyshev Polynomial Approximation for Distributed Signal Processing CoRR (2011)
Mahta Moghaddam, Dara Entekhabi, Yuriy Goykhman, Ke Li, Mingyan Liu, Aditya Mahajan, Ashutosh Nayyar, David I. Shuman, Demosthenis Teneketzis
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) (2010)
David I. Shuman, Ashutosh Nayyar, Aditya Mahajan, Yuriy Goykhman, Ke Li, Mingyan Liu, Demosthenis Teneketzis, Mahta Moghaddam, Dara Entekhabi
Measurement Scheduling for Soil Moisture Sensing: From Physical Models to Optimal Control. Proc. IEEE 98 (11) (2010)
David I. Shuman, Mingyan Liu
Dynamic clock calibration via temperature measurement. CDC (2009)
David I. Shuman, Mingyan Liu
Energy-Efficient Transmission Scheduling with Strict Underflow Constraints CoRR (2009)
Mahta Moghaddam, Dara Entekhabi, Yuriy Goykhman, Mingyan Liu, Aditya Mahajan, Ashutosh Nayyar, David I. Shuman, Demosthenis Teneketzis
A Soil Moisture Smart Sensor Web using Data Assimilation and Optimal Control: Formulation and First Laboratory Demonstration. IGARSS (5) (2008)
David I. Shuman, Mingyan Liu
Energy-efficient transmission scheduling for wireless media streaming with strict underflow constraints. WiOpt (2008)