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Related Concept Videos

Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

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Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
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Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
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Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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Upsampling01:22

Upsampling

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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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Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
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Updated: Jun 8, 2025

Quasi-light Storage for Optical Data Packets
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MIMO Volterra polynomial equalizer for PDM ultrahigh-order QAM signals.

Jiamin Fan, Mingyi Gao, Xuejing Huang

    Optics Letters
    |November 1, 2024
    PubMed
    Summary

    We developed a novel multiple-input multiple-output Volterra polynomial equalizer (MVPE) for probabilistic shaping polarization-division multiplexed 4096-QAM systems. This MVPE significantly improves receiver sensitivity by 2.8 dB over traditional methods.

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    Area of Science:

    • Optical Communications
    • Signal Processing

    Background:

    • Coherent optical transmission systems face nonlinear distortions.
    • Polarization-division multiplexing (PDM) and high-order modulation like 4096-QAM increase data rates but exacerbate nonlinearities.
    • Existing equalizers like single-input single-output Volterra nonlinear equalizers (SISO VNLEs) have limitations in mitigating these distortions.

    Purpose of the Study:

    • To propose and experimentally demonstrate a multiple-input multiple-output Volterra polynomial equalizer (MVPE).
    • To evaluate the performance of the MVPE in a probabilistic shaping (PS) PDM 4096-QAM system.
    • To compare the MVPE's effectiveness against conventional SISO VNLEs.

    Main Methods:

    • Implementation of an MVPE for simultaneous equalization of in-phase (I) and quadrature (Q) components across both X and Y polarizations.
    • Experimental setup of a PS-PDM-4096-QAM coherent optical transmission system.
    • Performance evaluation using normalized generalized mutual information (NGMI) and receiver sensitivity measurements.

    Main Results:

    • The MVPE effectively alleviates nonlinear distortions in the PS-PDM-4096-QAM system.
    • The NGMI reached the threshold of DVB-S2 low-density parity-check (LDPC) codes with 20% overhead.
    • A receiver sensitivity improvement of approximately 2.8 dB was achieved compared to SISO VNLEs.
    • The MVPE maintained nearly similar computational complexity to SISO VNLEs.

    Conclusions:

    • The proposed MVPE is a highly effective solution for mitigating nonlinear distortions in advanced coherent optical systems.
    • MVPE offers significant performance gains in receiver sensitivity without a substantial increase in computational complexity.
    • This technology advances the feasibility of high-capacity optical transmission using PS-PDM-4096-QAM.