Richard G. Baraniuk
Affiliations: | Rice University, Houston, TX |
Area:
Electronics and Electrical Engineering, Computer Science, MathematicsGoogle:
"Richard Gordon Baraniuk"Bio:
Parents
Sign in to add mentor| Douglas Llewellyn Jones | grad student | 1992 | UIUC (Computational Biology Tree) | |
| (Shear Madness: Signal-Dependent and Metaplectic Time-Frequency Representations.) | ||||
Children
Sign in to add trainee| Eva Dyer | grad student | (Neurotree) | |
| Roger L. Claypoole | grad student | 2000 | Rice University |
| Rohit V. Gaikwad | grad student | 2000 | Rice University |
| Timothy D. Dorney | grad student | 2002 | Rice University |
| Ramesh Neelamani | grad student | 2004 | Rice University |
| Justin K. Romberg | grad student | 2004 | Rice University |
| Nadeem Ahmed | grad student | 2005 | Rice University |
| Vinay Ribeiro | grad student | 2005 | Rice University |
| Raymond S. Wagner | grad student | 2007 | Rice University |
| Michael B. Wakin | grad student | 2007 | Rice University |
| Rui M. Castro | grad student | 2008 | Rice University |
| Shriram Sarvotham | grad student | 2008 | Rice University |
| Mark A. Davenport | grad student | 2010 | Rice University |
| Marco F. Duarte | grad student | 2010 | Rice University |
| Mona A. Sheikh | grad student | 2010 | Rice University |
| Jason N. Laska | grad student | 2011 | Rice University |
| Amirali Aghazadeh | grad student | 2010-2017 | Rice University |
| Christopher J. Rozell | post-doc | 2007-2007 | Rice University (Neurotree) |
BETA: Related publications
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Publications
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| Kota PK, LeJeune D, Drezek RA, et al. (2022) Extreme Compressed Sensing of Poisson Rates from Multiple Measurements. Ieee Transactions On Signal Processing : a Publication of the Ieee Signal Processing Society. 70: 2388-2401 |
| Sapoval N, Aghazadeh A, Nute MG, et al. (2022) Current progress and open challenges for applying deep learning across the biosciences. Nature Communications. 13: 1728 |
| Seydoux L, Balestriero R, Poli P, et al. (2020) Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning. Nature Communications. 11: 3972 |
| Elworth RAL, Wang Q, Kota PK, et al. (2020) To Petabytes and beyond: recent advances in probabilistic and signal processing algorithms and their application to metagenomics. Nucleic Acids Research |
| Sharma MK, Metzler CA, Nagesh S, et al. (2020) Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms Ieee Transactions On Computational Imaging. 6: 95-108 |
| Cosentino R, Balestriero R, Baraniuk RG, et al. (2020) Universal Frame Thresholding Ieee Signal Processing Letters. 27: 1115-1119 |
| Wang Y, Shen J, Hu T, et al. (2020) Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference Ieee Journal of Selected Topics in Signal Processing. 14: 623-633 |
| Tan J, Niu L, Adams JK, et al. (2019) Face Detection and Verification Using Lensless Cameras Ieee Transactions On Computational Imaging. 5: 180-194 |
| Sen D, Aghazadeh A, Mousavi A, et al. (2019) Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes Mechanical Systems and Signal Processing. 131: 524-537 |
| Sen D, Aghazadeh A, Mousavi A, et al. (2019) Sparsity-based approaches for damage detection in plates Mechanical Systems and Signal Processing. 117: 333-346 |