signal-to-noise ratio

简明释义

信噪比

英英释义

例句

1.In photography, a good signal-to-noise ratio means less grain in low-light images.

在摄影中，良好的信噪比意味着低光图片中的颗粒更少。

2.In audio engineering, a higher signal-to-noise ratio indicates clearer sound quality.

在音频工程中，较高的信噪比表示更清晰的声音质量。

3.Researchers often look for ways to enhance the signal-to-noise ratio in their experiments.

研究人员通常寻找方法来增强他们实验中的信噪比。

4.The signal-to-noise ratio is critical in telecommunications to ensure clear communication.

在电信中，信噪比对于确保清晰的通信至关重要。

5.When analyzing data, improving the signal-to-noise ratio can lead to more accurate results.

在分析数据时，提高信噪比可以带来更准确的结果。

作文

In the age of information overload, the concept of signal-to-noise ratio plays a crucial role in our ability to discern valuable information from the chaos that surrounds us. The term originates from telecommunications and refers to the measure of the desired signal's strength compared to the background noise that interferes with it. In a broader context, it can be applied to various fields, including data analysis, communication, and even personal life decisions.When we talk about signal-to-noise ratio, we are essentially discussing the clarity and quality of information we receive. Imagine trying to listen to your favorite song on the radio, but the static and interference make it nearly impossible to enjoy the music. In this scenario, the song represents the 'signal,' while the static is the 'noise.' A high signal-to-noise ratio means that the song can be heard clearly, while a low ratio indicates that the noise overwhelms the signal.In the realm of data analysis, the signal-to-noise ratio is vital for making informed decisions. For instance, when analyzing market trends, investors must sift through vast amounts of data to identify genuine signals that indicate potential investment opportunities. If the noise—such as misleading headlines, sensationalist news, or irrelevant statistics—is too loud, it becomes challenging to pinpoint the true signals that matter. Thus, enhancing the signal-to-noise ratio in data analysis involves filtering out the noise and focusing on relevant, high-quality information.Moreover, effective communication relies heavily on maintaining a favorable signal-to-noise ratio. In our daily interactions, we often encounter distractions that can distort our messages. For example, during a conversation in a crowded café, background chatter can drown out what someone is saying. To improve the signal-to-noise ratio in such situations, one might choose to speak more clearly, reduce background noise, or even select a quieter environment for important discussions.On a personal level, understanding the signal-to-noise ratio can help us navigate life's complexities. We are bombarded with opinions, advice, and information from various sources, including social media, friends, and family. It is essential to distinguish between constructive feedback (the signal) and unnecessary criticism or negativity (the noise). By honing our ability to identify what truly matters, we can make better choices and focus on our goals.In conclusion, the signal-to-noise ratio is a concept that transcends its technical origins and finds relevance in various aspects of life. Whether we are analyzing data, communicating with others, or making personal decisions, understanding how to enhance our signal-to-noise ratio can lead to clearer insights and more meaningful interactions. As we continue to navigate an increasingly noisy world, prioritizing the signal over the noise will undoubtedly empower us to make wiser choices and achieve our objectives more effectively.

在信息过载的时代，信号与噪声比率这一概念在我们辨别有价值信息与周围混乱之间的能力中扮演着至关重要的角色。这个术语源于电信，指的是所需信号的强度与干扰其背景噪声之间的衡量。在更广泛的背景下，它可以应用于多个领域，包括数据分析、通信，甚至个人生活决策。当我们谈论信号与噪声比率时，我们基本上是在讨论我们收到的信息的清晰度和质量。想象一下，你试图在收音机上听你最喜欢的歌曲，但静电和干扰使你几乎无法享受音乐。在这个场景中，歌曲代表着“信号”，而静电则是“噪声”。高信号与噪声比率意味着歌曲可以清晰地听到，而低比率则表明噪声淹没了信号。在数据分析领域，信号与噪声比率对做出明智决策至关重要。例如，在分析市场趋势时，投资者必须从大量数据中筛选出真正的信号，以识别潜在的投资机会。如果噪声——如误导性标题、耸人听闻的新闻或不相关的统计数据——过于嘈杂，就很难找到真正重要的信号。因此，提高数据分析中的信号与噪声比率涉及过滤掉噪声，专注于相关的高质量信息。此外，有效沟通在很大程度上依赖于保持良好的信号与噪声比率。在我们的日常互动中，我们经常遇到可能扭曲我们信息的干扰。例如，在一个拥挤的咖啡馆里交谈时，背景的喧哗可能会淹没某人的话。为了改善这种情况中的信号与噪声比率，人们可能会选择说得更清晰，减少背景噪声，甚至为重要的讨论选择一个更安静的环境。在个人层面上，理解信号与噪声比率可以帮助我们应对生活的复杂性。我们被来自各种来源的信息、意见和建议所轰炸，包括社交媒体、朋友和家人。区分建设性的反馈（信号）与不必要的批评或消极情绪（噪声）是至关重要的。通过提高我们识别真正重要事物的能力，我们可以做出更好的选择，专注于我们的目标。总之，信号与噪声比率是一个超越其技术起源的概念，在生活的各个方面都具有相关性。无论我们是在分析数据、与他人沟通，还是做出个人决策，理解如何提升我们的信号与噪声比率都能带来更清晰的洞察力和更有意义的互动。随着我们继续在一个愈加嘈杂的世界中航行，优先考虑信号而非噪声无疑将赋予我们做出更明智选择的能力，更有效地实现我们的目标。