Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Science and Engineering
      • Science and Engineering Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Jitter extraction in a noisy signal by fast Fourier transform and time lag correlation

      Anthonys, Gehan; Cree, Michael J.; Streeter, Lee
      Thumbnail
      Files
      My_AEF.pdf
      Accepted version, 536.8Kb
      DOI
       10.4028/www.scientific.net/AMM.884.113
      Find in your library  
      Citation
      Export citation
      Anthonys, G., Cree, M. J., & Streeter, L. V. (2018). Jitter extraction in a noisy signal by fast Fourier transform and time lag correlation. Applied Mechanics and Materials, 884, 113–121. https://doi.org/10.4028/www.scientific.net/AMM.884.113
      Permanent Research Commons link: https://hdl.handle.net/10289/12672
      Abstract
      Jitter in an electronic signal is any deviation in, or displacement of, the signal in time. This paper investigates on decomposition of two types of jitter, namely, periodic and random jitter in noisy signals. Generally, an oscilloscope generates an eye diagram by overlaying sweeps of different segments of a long data stream driven by the reference clock signal. We use the fast Fourier transform with time lag correlation of the signal since we do not have a clock reference signal and apply this technique to simulated noisy signals. We separately injected a random jitter (of known amount), periodic jitter (with known frequency and amount), and both together to various modulation frequencies of sinusoidal signals. The approach is validated by several experiments with numerous values in jitter parameters. When we separately inject random jitter (5 ps) and periodic jitter (5 ps at 4.37 MHz) to the signal, we obtained the results (4.52±0.25 ps) and (4.93±0.04 ps at 4.40±0.04 MHz), respectively.
      Date
      2018
      Type
      Journal Article
      Rights
      This is an author’s accepted version of an article published in the journal: Applied Mechanics and Materials. © 2016 Trans Tech Publications.
      Collections
      • Science and Engineering Papers [3086]
      Show full item record  

      Usage

      Downloads, last 12 months
      267
       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement