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Signal Processing Q

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Lei Zhang. 1. Signal Processing Q&Rs --- Edge equalization of NRZ and duobinary signals ... Lei Zhang. 2. 26/10/2006. Why Edge Equalization. High speed data ... – PowerPoint PPT presentation

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Title: Signal Processing Q


1
Signal Processing QRs --- Edge equalization
of NRZ and duobinary signals
  • Lei Zhang, PhD Candidate
  • Electronics Department
  • Carleton University

2
Why Edge Equalization
  • High speed data transmission needs zero ISI
  • Conventional SSF channel equalization can hardly
    achieve zero ISI at high data rate
  • A recent research1 introduces a new approach to
    reduce ISI by changing the edge of a differential
    signal, which is so called as pulse width
    modulation (PWM) in the paper. However, we
    consider this as edge equalization since it
    changes the edge of a differential signal, not
    the duty cycle of the pulses

3
A Comparison of SSF and Edge Equalization---
channel pulse response
4
A Comparison of SSF and Edge Equalization(cont.)
5
A Comparison of SSF and Edge Equalization(cont.)
6
A Comparison of SSF and Edge Equalization(cont.)
7
Impulse Response of Duobinary Filter
Nyquist interval 1.5UI
Filter
8
Duobinary Pulse Response with Edge Equalization
9
Duobinary Pulse Response with Edge Equalization
10
Conclusion
  • The above edge equalization approach achieves
    nearly zero ISI in both NRZ and duobinary signal
    transmission, with the price of dramatically
    increased amplitude attenuation
  • Apply the above edge equalization approach to a
    duobinary signal can eliminate the need for an
    FSF. However, this edge equalization approach
    cannot replace duobinary coding.
  • Such an edge equalization approach puts more
    loads on the driver design.

11
Reference
  • 1 J.H.R. Schrader et al., Wireline
    Equalization using Pulse-Width Modulation, in
    IEEE Custom Integrated Circuits Conference
    (CICC), pp. 591-598, 2006.
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