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1.
Geometric Compressed Sensing and Structured Sparsity
by Bojarovska, Irena S., Ph.D.  Technische Universitaet Berlin (Germany). 2015: 160 pages; 10704132.
2.
A transient fluid and thermodynamic model of a compressed air system
by Chappell, Joseph Stephen, M.S.  The University of Alabama. 2011: 147 pages; 1505184.
4.
Queries on Compressed Data
by Khandelwal, Anurag, Ed.D.  University of California, Berkeley. 2019: 131 pages; 27542792.
5.
Decoding of purely compressed-sensed video
by Liu, Ying, Ph.D.  State University of New York at Buffalo. 2012: 91 pages; 3541131.
6.
Mechanical and optical response of diamond crystals shock compressed along different orientations
by Lang, John Michael, Jr., Ph.D.  Washington State University. 2013: 199 pages; 3611278.
8.
NOx reduction in a compressed natural gas (CNG) engine with humid air intake
by Rahimi, Najmeh, M.S.  California State University, Long Beach. 2016: 70 pages; 10011272.
9.
Effects of time-compressed audio and adjunct images on learner recall, recognition, and satisfaction
by Ritzhaupt, Albert Dieter, Ph.D.  University of South Florida. 2008: 163 pages; 3326037.
10.
Effects of Humid Air to NOX and PM Emissions for a Compressed Natural Gas Engine
by Lee, Yong Chul, M.S.  California State University, Long Beach. 2018: 55 pages; 10784445.
15.
Advances in end-to-end distortion estimation for error-resilient video networking
by Schmidt, Jochen Christian, D.Eng.  University of California, Santa Barbara. 2009: 95 pages; 3371682.
16.
Low Complexity Sub-Nyquist Spectrum Sensing for Wideband Cognitive Radios
by Shaban, Mohamed, Ph.D.  University of Louisiana at Lafayette. 2016: 116 pages; 10003781.
17.
19.
Information-Theoretic Aspects of Signal Analysis and Reconstruction
by Lim, Taehyung, Ph.D.  University of California, San Diego. 2017: 111 pages; 10637732.
21.
MR Shuffling: Accelerated Single-Scan Multi-Contrast Magnetic Resonance Imaging
by Tamir, Jonathan I., Ph.D.  University of California, Berkeley. 2018: 150 pages; 10840304.
22.
Toward a Hardware Accelerated Future
by Lyons, Michael John, Ph.D.  Harvard University. 2013: 162 pages; 3600206.
23.
Study of parallel MR imaging techniques
by Kim, Wan, M.S.  State University of New York at Buffalo. 2015: 72 pages; 1594739.
24.
Sparse and redundant representations for inverse problems and recognition
by Patel, Vishal M., Ph.D.  University of Maryland, College Park. 2010: 150 pages; 3426406.
25.
Hierarchical Reconstruction Method for Solving Ill-posed Linear Inverse Problems
by Zhong, Ming, Ph.D.  University of Maryland, College Park. 2016: 122 pages; 10128674.
26.
Data compression and visualization for wireless sensor networks
by Imam, Ahadul, M.S.  California State University, Long Beach. 2015: 44 pages; 1597773.
27.
Database Streaming Compression on Memory-Limited Machines
by Bruccoleri, Damon, Ph.D.  Nova Southeastern University. 2018: 208 pages; 10751913.
28.
Quality Guided Variable Bit Rate Texture Compression
by Griffin, Wesley, Ph.D.  University of Maryland, Baltimore County. 2016: 95 pages; 10159930.
29.
An Analysis of Scientific Data Quality for the Fast Plasma Investigation of the MMS Mission
by Barrie, A. C., Ph.D.  University of Colorado at Boulder. 2018: 128 pages; 10934761.
30.
Compensation for Nonlinear Distortion in Noise for Robust Speech Recognition
by Harvilla, Mark J., Ph.D.  Carnegie Mellon University. 2014: 150 pages; 3692092.
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