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Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
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Efficient backward-propagation using wavelet-based filtering for fiber backward-propagation.

Gilad Goldfarb1, Guifang Li

  • 1College of Optics & Photonics/CREOL&FPCE, University of Central Florida 4000 Central Florida Blvd., Orlando, FL 32816-2700, USA. gilad@creol.ucf.edu

Optics Express
|May 26, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces wavelet-based filtering to reduce computational operations for digital backward-propagation in fiber optic communications. This novel approach offers greater efficiency for fiber impairment compensation compared to traditional methods.

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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

Area of Science:

  • Optical Communications
  • Signal Processing
  • Applied Mathematics

Background:

  • Digital backward-propagation is crucial for compensating fiber impairments in optical networks.
  • Current methods, like inverse-Fourier filtering, are computationally intensive due to non-time-limited basis functions.
  • Reducing operational complexity is key to improving efficiency in digital signal processing for telecommunications.

Purpose of the Study:

  • To present a novel wavelet-based filtering approach for fiber impairment compensation.
  • To reduce the computational load of digital backward-propagation.
  • To demonstrate the efficiency of wavelet-based filters over traditional methods.

Main Methods:

  • Signal decomposition using time-limited wavelet basis functions.
  • Design of wavelet-based filters compatible with the time-limited dispersion operator.
  • Numerical simulations to validate the proposed filtering technique.

Main Results:

  • Wavelet-based filtering is more compatible with time-limited dispersion operators than inverse-Fourier filters.
  • The proposed method significantly reduces the number of operations required for digital backward-propagation.
  • Numerical simulations confirm the effectiveness and efficiency of the wavelet-based approach.

Conclusions:

  • Wavelet-based filtering offers a computationally efficient alternative for fiber impairment compensation.
  • This technique enhances the performance of digital backward-propagation in optical fiber systems.
  • The study validates the practical applicability of wavelet-based signal processing in optical communications.