相关实验视频

Updated: May 24, 2025

Lensless Fluorescent Microscopy on a Chip
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用于压缩传感的可逆扩散模型.

Bin Chen, Zhenyu Zhang, Weiqi Li

    IEEE transactions on pattern analysis and machine intelligence
    |March 3, 2025
    PubMed
    概括

    可逆扩散模型 (IDM) 为压缩传感 (CS) 提供高效,端到端的图像重建. 与现有技术相比,这种新的方法显著提高了重建质量,并加快了推断速度.

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    Reconstruction of Signal using Interpolation01:10

    Reconstruction of Signal using Interpolation

    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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    Convolution: Math, Graphics, and Discrete Signals01:24

    Convolution: Math, Graphics, and Discrete Signals

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    Deconvolution01:20

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    Downsampling01:20

    Downsampling

    When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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    The Region of Convergence (ROC) is a fundamental concept in signal processing and system analysis, particularly associated with the Laplace transform. The ROC represents an area in the complex plane where the Laplace transform of a given signal converges, determining the transform's applicability and utility.
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