signal to-noise ratio

简明释义

信号噪声比

英英释义

例句

1.When analyzing data, a low signal to-noise ratio can lead to misleading results.

在分析数据时，低信号与噪声比可能导致误导性的结果。

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

在音频工程中，高信号与噪声比表示更清晰的声音质量。

3.The signal to-noise ratio is crucial for effective communication in wireless networks.

在无线网络中，信号与噪声比对有效通信至关重要。

4.Improving the signal to-noise ratio can enhance the performance of your microphone.

提高信号与噪声比可以增强麦克风的性能。

5.Scientists often measure the signal to-noise ratio when conducting experiments.

科学家在进行实验时常常测量信号与噪声比。

作文

In our increasingly complex world, the concept of signal to-noise ratio plays a crucial role in various fields, from telecommunications to data analysis and even personal communication. At its core, the signal to-noise ratio refers to the measure of the desired signal compared to the background noise that may distort or interfere with that signal. A high signal to-noise ratio indicates that the signal is clear and distinguishable from the noise, while a low ratio suggests that the noise is overwhelming the signal, making it difficult to discern the intended message.In telecommunications, for instance, the signal to-noise ratio is vital for determining the quality of a transmission. When you make a phone call, you want to hear the other person clearly without interference from static or background sounds. Engineers work tirelessly to improve the signal to-noise ratio in communication systems to ensure that users can enjoy high-quality conversations. This involves using advanced technologies and techniques to filter out unwanted noise and enhance the clarity of the signal being transmitted.Similarly, in the realm of data analysis, the signal to-noise ratio can be used to evaluate the reliability of the data collected. Researchers often face the challenge of separating meaningful information (the signal) from irrelevant data or errors (the noise). A strong signal to-noise ratio allows researchers to draw accurate conclusions and make informed decisions based on their findings. Conversely, if the noise level is too high, it can lead to misleading results and potentially harmful consequences.On a more personal level, the idea of signal to-noise ratio can also be applied to our daily interactions. In an age where we are constantly bombarded with information from various sources—social media, news outlets, advertisements—it becomes increasingly important to filter out the noise and focus on the signals that truly matter. This means prioritizing meaningful conversations, nurturing relationships, and engaging with content that enriches our lives rather than detracts from them.Moreover, improving our personal signal to-noise ratio requires conscious effort. We must learn to identify what constitutes a valuable signal in our lives and what merely adds to the noise. This could involve setting boundaries with technology, curating our social media feeds, or simply taking time to reflect on our priorities and values. By doing so, we can enhance our overall well-being and ensure that we are not overwhelmed by the cacophony of modern life.In conclusion, the concept of signal to-noise ratio extends far beyond technical applications; it serves as a metaphor for clarity and focus in all aspects of life. Whether in communication, research, or personal interactions, understanding and improving our signal to-noise ratio can lead to more meaningful experiences and better outcomes. As we navigate through the noise of our daily existence, let us strive to amplify the signals that resonate with our true selves and contribute positively to our lives and the lives of those around us.

在我们日益复杂的世界中，“信号与噪声比”的概念在各个领域发挥着至关重要的作用，从电信到数据分析，甚至个人沟通。其核心是“信号与噪声比”指的是所需信号与可能扭曲或干扰该信号的背景噪声的度量。高的“信号与噪声比”表示信号清晰且可与噪声区分，而低比率则表明噪声压倒了信号，使得很难辨别预期的信息。例如，在电信领域，“信号与噪声比”对于确定传输质量至关重要。当你打电话时，你希望清楚地听到对方，而没有静电或背景声音的干扰。工程师们不懈努力提高通信系统中的“信号与噪声比”，以确保用户能够享受高质量的对话。这涉及使用先进的技术和方法来过滤掉不必要的噪声，并增强所传输信号的清晰度。同样，在数据分析领域，“信号与噪声比”可以用来评估所收集数据的可靠性。研究人员经常面临将有意义的信息（信号）与无关数据或错误（噪声）分开的挑战。强大的“信号与噪声比”使研究人员能够得出准确的结论，并根据他们的发现做出明智的决策。相反，如果噪声水平过高，可能会导致误导性的结果和潜在的有害后果。在更个人的层面上，“信号与噪声比”的理念也可以应用于我们的日常互动。在一个我们不断被各种信息源轰炸的时代——社交媒体、新闻媒体、广告——过滤掉噪声并专注于真正重要的信号变得越来越重要。这意味着优先考虑有意义的对话，培养关系，参与丰富我们生活而不是削弱我们生活的内容。此外，提高个人的“信号与噪声比”需要有意识的努力。我们必须学会识别在生活中什么构成有价值的信号，以及什么仅仅增加了噪声。这可能涉及与技术设定界限，策划我们的社交媒体动态，或者仅仅花时间反思我们的优先事项和价值观。通过这样做，我们可以增强整体福祉，确保我们不会被现代生活的喧嚣所淹没。总之，“信号与噪声比”的概念远远超出了技术应用；它作为清晰和专注的隐喻，适用于生活的所有方面。无论是在沟通、研究还是个人互动中，理解和改善我们的“信号与噪声比”都可以带来更有意义的经历和更好的结果。当我们在日常生活的噪声中航行时，让我们努力放大与我们真实自我共鸣并对我们的生活及周围人的生活产生积极影响的信号。