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Related Concept Videos

Blind Procedures02:07

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which child was...
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...

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Related Experiment Video

Updated: Jul 3, 2026

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

Deterministic-ISI-mitigation enabled blind adaptive equalization in coherent optical systems with narrowband

Zhongxing Tian, Zeyu Feng, Qingyu He

    Optics Express
    |July 2, 2026
    PubMed
    Summary
    This summary is machine-generated.

    A new digital demodulation scheme uses a symbol-window weighting module (DIM) to exploit symbol correlation, improving blind adaptive equalization (AEQ) in high-speed optical systems. This method enhances performance under severe bandwidth limitations.

    Related Experiment Videos

    Last Updated: Jul 3, 2026

    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
    • Digital Signal Processing

    Background:

    • Digital narrowband pre-filtering enhances spectral efficiency in coherent optical systems.
    • Severe inter-symbol interference (ISI) from bandwidth limitations impairs conventional blind adaptive equalization (AEQ).

    Purpose of the Study:

    • To develop a training-overhead-free demodulation scheme that mitigates ISI in spectrally efficient optical systems.
    • To improve the reliability and performance of adaptive equalization under strong bandwidth limitations.

    Main Methods:

    • Proposed a Digital-Intelligence-Module (DIM)-assisted demodulation scheme with a front-end symbol-window weighting module.
    • Optimized DIM coefficients to maximize desired-symbol energy and suppress deterministic ISI.
    • Introduced a matched post-filter to manage noise enhancement and restore symbol correlation.
    • Established a linear baseband model to analyze ISI and noise evolution.

    Main Results:

    • The DIM-assisted scheme effectively exploits deterministic ISI as useful symbol correlation.
    • The DIM module partially suppresses ISI, facilitating faster AEQ convergence.
    • Experimental results show a 2.6-dB Q-factor improvement for the DIM-CMA scheme over conventional CMA.
    • Demonstrated effectiveness in a 60-GBd PDM-QPSK system after 1800-km transmission.

    Conclusions:

    • The proposed DIM-assisted demodulation scheme offers a significant performance improvement for coherent optical systems with severe bandwidth limitations.
    • This training-overhead-free approach enhances the reliability of blind adaptive equalization by explicitly exploiting deterministic ISI.
    • The combination of DIM and a matched post-filter effectively addresses ISI and noise challenges in high-spectral-efficiency transmission.