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Tensor Processing and Machine Learning for Signal Processing

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 O’Shea, Tim

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Tensor Processing and Machine Learning for Signal Processing
Subtitle
Functional Algorithm Definition and Concurrent Automation
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611
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CC Attribution 2.0 Belgium:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2017

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Abstract
This talk will discuss the applicability and potential of tensor processingmethods for signal processing algorithm implementation. It will consider bothmachine learning and non-machine learning signal processing applications anddiscuss how they can be efficiently implemented with TensorFlow and usedquickly in conjunction with GNU Radio.