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Tuesday, January 24 • 4:30pm - 6:00pm
Poster: Deep Learning Approaches to Structured Signal Recovery

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The promise of compressive sensing (CS) has been offset by two significant challenges. First, real-world data is not exactly sparse in a fixed basis. Second, current high-performance recovery algorithms are slow to converge, which limits CS to either non-real-time applications or scenarios where massive back-end computing is available. We attack both of these challenges head-on by developing new signal recovery frameworks using deep learning techniques.


Tuesday January 24, 2017 4:30pm - 6:00pm
BioScience Research Collaborative Event Hall 6500 Main Street, Houston, TX 77030-1402