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US Patent 10575788 Compressive sensing of quasi-periodic signals using generative models

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
0
Date Filed
October 18, 2017
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Date of Patent
March 3, 2020
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Patent Application Number
15787534
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Patent Citations
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US Patent 10342447 Systems and methods for model-based non-contact physiological data acquisition
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US Patent 10073701 Scalable and parameterized VLSI architecture for compressive sensing sparse approximation
Patent Citations Received
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US Patent 11471597 Systems, methods, and apparatuses for utilizing co-simulation of a physical model and a self-adaptive predictive controller using hybrid automata
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US Patent 11054807 Systems and methods for hybrid automata mining from input-output traces of cyber-physical systems
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US Patent 11307667 Systems and methods for facilitating accessible virtual education
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US Patent 11341326 Compression method and platform of pre-training language model based on knowledge distillation
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US Patent 11405759 Systems and methods for crowdsourcing real-time mobile crowd sensing applications
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US Patent 10796246 Brain-mobile interface optimization using internet-of-things
Patent Inventor Names
Ayan Banerjee
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Sandeep Gupta
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
10575788
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Patent Primary Examiner
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Carl H Layno
0

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