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Design of Warped Stretch Transform

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Artificial Intelligence in Label-free Microscopy

Abstract

Time stretch dispersive Fourier transform enables real-time spectroscopy at the repetition rate of million scans per second. High-speed real-time instruments ranging from analog-to-digital converters to cameras and single-shot rare-phenomena capture equipment with record performance have been empowered by it. Its warped stretch variant, realized with nonlinear group delay dispersion, offers variable-rate spectral domain sampling, as well as the ability to engineer the time-bandwidth product of the signal’s envelope to match that of the data acquisition systems. To be able to reconstruct the signal with low loss, the spectrotemporal distribution of the signal spectrum needs to be sparse. Here, for the first time, we show how to design the kernel of the transform and specifically, the nonlinear group delay profile dictated by the signal sparsity. Such a kernel leads to smart stretching with nonuniform spectral resolution, having direct utility in improvement of data acquisition rate, real-time data compression, and enhancement of ultrafast data capture accuracy. We also discuss the application of warped stretch transform in spectrotemporal analysis of continuous-time signals.

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Authors and Affiliations

  1. University of California Los Angeles, Los Angeles, CA, USA

    Ata Mahjoubfar, Claire Lifan Chen & Bahram Jalali

Authors
  1. Ata Mahjoubfar
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  2. Claire Lifan Chen
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  3. Bahram Jalali
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Mahjoubfar, A., Chen, C.L., Jalali, B. (2017). Design of Warped Stretch Transform. In: Artificial Intelligence in Label-free Microscopy. Springer, Cham. https://doi.org/10.1007/978-3-319-51448-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-51448-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51447-5

  • Online ISBN: 978-3-319-51448-2

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