time resolution

简明释义

时间分辨力

英英释义

Time resolution refers to the smallest measurable unit of time in a given context, determining how accurately events can be recorded or analyzed.

时间分辨率指在特定上下文中可测量的最小时间单位,决定了事件记录或分析的准确性。

例句

1.The camera offers a high time resolution 时间分辨率 for capturing fast-moving objects.

这款相机提供高的时间分辨率 时间分辨率,可以捕捉快速移动的物体。

2.In scientific experiments, a low time resolution 时间分辨率 can lead to inaccurate results.

在科学实验中,低时间分辨率 时间分辨率可能导致不准确的结果。

3.The software's time resolution 时间分辨率 settings can be adjusted based on user needs.

该软件的时间分辨率 时间分辨率设置可以根据用户需求进行调整。

4.For audio recordings, a higher time resolution 时间分辨率 allows for clearer sound quality.

对于音频录制,更高的时间分辨率 时间分辨率可以提供更清晰的音质。

5.A GPS system with a high time resolution 时间分辨率 can provide more accurate location tracking.

具备高时间分辨率 时间分辨率的GPS系统可以提供更准确的位置追踪。

作文

In the realm of data analysis and digital imaging, the concept of time resolution plays a critical role in determining the accuracy and reliability of the information gathered. 时间分辨率 refers to the smallest measurable time interval at which data can be captured or recorded. This aspect is particularly significant in fields such as physics, engineering, and even social sciences, where understanding changes over time can lead to valuable insights.For instance, in the field of medical imaging, high time resolution is essential for capturing rapid physiological processes. Techniques like functional MRI (fMRI) rely on the ability to detect brain activity by measuring changes in blood flow over time. If the time resolution is too low, important details regarding neuronal firing and connectivity may be missed, leading to incomplete or inaccurate interpretations of brain function.Similarly, in environmental monitoring, the time resolution of data collection can significantly impact our understanding of climate change. Scientists often rely on satellite data to monitor changes in temperature, precipitation, and vegetation cover. A higher time resolution allows researchers to observe short-term fluctuations and trends that might otherwise go unnoticed. For example, if satellite data is collected only once a month, it may fail to capture critical events such as extreme weather patterns or sudden shifts in land use.Moreover, in the realm of economics, time resolution can affect the analysis of market trends. High-frequency trading algorithms operate on very short time resolution, executing trades in milliseconds based on real-time data. This requires sophisticated technology and an understanding of how market indicators fluctuate within extremely brief periods. Economists studying these trends need to consider the implications of time resolution when analyzing data to avoid drawing incorrect conclusions based on aggregated or delayed information.In addition to scientific and economic applications, time resolution also plays a pivotal role in everyday technologies. For example, modern smartphones and cameras are equipped with features that allow users to record videos at high frame rates, resulting in smoother and more detailed playback. The time resolution of these devices enables users to capture fast-moving objects with clarity, enhancing both personal and professional video production.However, achieving high time resolution often comes with trade-offs. In many cases, increasing the time resolution may result in larger data sizes, necessitating more storage space and processing power. This can pose challenges for researchers and organizations that must balance the need for detailed temporal data with resource constraints.In conclusion, the concept of time resolution is fundamental across various disciplines, influencing how we gather, analyze, and interpret data. Whether in medical imaging, environmental science, economics, or technology, understanding the implications of time resolution can lead to more accurate findings and better decision-making. As technology continues to advance, the importance of high time resolution will only grow, underscoring the need for ongoing research and innovation in this area.

在数据分析和数字成像领域,时间分辨率的概念在确定所收集信息的准确性和可靠性方面发挥着关键作用。时间分辨率指的是可以捕获或记录的数据的最小可测量时间间隔。这一方面在物理学、工程学甚至社会科学等领域尤为重要,因为理解随时间变化的情况可以带来有价值的见解。例如,在医学成像领域,高 时间分辨率 对于捕捉快速生理过程至关重要。功能性磁共振成像(fMRI)等技术依赖于能够通过测量血流随时间变化来检测大脑活动。如果 时间分辨率 太低,关于神经元放电和连接的重要细节可能会被遗漏,从而导致对大脑功能的不完整或不准确的解释。同样,在环境监测中,数据收集的 时间分辨率 可以显著影响我们对气候变化的理解。科学家们通常依靠卫星数据来监测温度、降水和植被覆盖的变化。更高的 时间分辨率 使研究人员能够观察短期波动和趋势,这些波动和趋势可能会被忽视。例如,如果卫星数据仅每月收集一次,则可能无法捕捉到极端天气模式或土地使用突然变化等关键事件。此外,在经济学领域,时间分辨率 也会影响市场趋势的分析。高频交易算法在非常短的 时间分辨率 下运行,根据实时数据在毫秒内执行交易。这需要复杂的技术和对市场指标在极短时间内波动的理解。研究这些趋势的经济学家需要考虑 时间分辨率 的影响,以避免基于聚合或延迟信息得出错误结论。除了科学和经济应用之外,时间分辨率 在日常技术中也起着关键作用。例如,现代智能手机和相机配备了允许用户以高帧速率录制视频的功能,从而实现更平滑和更详细的播放。这些设备的 时间分辨率 使用户能够清晰地捕捉快速移动的物体,增强个人和专业视频制作的效果。然而,实现高 时间分辨率 通常伴随着权衡。在许多情况下,增加 时间分辨率 可能会导致更大的数据大小,从而需要更多的存储空间和处理能力。这对于必须平衡对详细时间数据的需求与资源限制的研究人员和组织来说,可能会带来挑战。总之,时间分辨率 的概念在各个学科中都是基础,影响着我们如何收集、分析和解释数据。无论是在医学成像、环境科学、经济学还是技术领域,理解 时间分辨率 的影响都可以导致更准确的发现和更好的决策。随着技术的不断进步,高 时间分辨率 的重要性只会增加,强调了在这一领域持续研究和创新的必要性。