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相关概念视频

Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
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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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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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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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The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
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Lensless Fluorescent Microscopy on a Chip
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快速的光学近距离校正方法采用逻辑和正规化压缩传感的代值算法.

Zhen Li, Yanqiu Li, Miao Yuan

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    概括
    此摘要是机器生成的。

    一个新的算法,RMS-log-sum-OPC,提高了VLSI制造面具优化中的石版精度和计算效率. 这种方法平衡了准确性和速度,这对于先进技术节点至关重要.

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    科学领域:

    • 电气工程 电气工程
    • 计算机科学 计算机科学
    • 材料科学 材料科学 材料科学

    背景情况:

    • 面具优化对于先进的VLSI制造至关重要.
    • 光学近距离校正 (OPC) 是 lithography 中一个关键的分辨率增强技术.
    • 在OPC中,平衡光刻精度和计算效率是OPC的一个主要挑战.

    研究的目的:

    • 引入一个新的算法,RMS-log-sum-OPC,用于快速和高准确度的光学近距离校正.
    • 解决OPC中的计算效率和石版精度之间的权衡问题.

    主要方法:

    • 提出了一个对数和规范化的代值算法,结合RMSprop方法 (RMS-log-sum-OPC).
    • 通过解决一系列对数和规则化重建问题,并进行代重量更新,实现了OPC.
    • 利用RMSprop的动态学习速率来实现合速度和稳定性,同时保持对数稀疏性.

    主要成果:

    • 与BCS-OPC相比,RMS-log-sum-OPC在两个目标布局上提高了44.7%和19.6%的石版精度.
    • 每次代的运行时间分别减少了6.67%和2.48%,证明了增强的计算效率.
    • 该算法适用于OPC固有的高维,非凸,稀疏的问题.

    结论:

    • 在面具优化中,RMS-log-sum-OPC实现了高光刻效率和计算效率.
    • 拟议的方法比现有技术,如BCS-OPC.提供了显著的进步.
    • 这种算法非常适合复杂,大规模的OPC应用在先进的VLSI制造.