signal to noise ratio

简明释义

随机杂波信杂比

英英释义

例句

1.Researchers often look for a high signal to noise ratio 信噪比 to validate their experimental results.

研究人员通常寻找高信噪比 signal to noise ratio 来验证他们的实验结果。

2.When analyzing data, a low signal to noise ratio 信噪比 can lead to misleading conclusions.

在分析数据时，低信噪比 signal to noise ratio 可能导致误导性结论。

3.The quality of the video feed was poor due to a low signal to noise ratio 信噪比 caused by interference.

由于干扰导致低信噪比 signal to noise ratio，视频信号质量很差。

4.In telecommunications, improving the signal to noise ratio 信噪比 can significantly enhance call clarity.

在电信中，提高信噪比 signal to noise ratio 可以显著提高通话清晰度。

5.In audio engineering, a high signal to noise ratio 信噪比 ensures that the music is clear and free from background hiss.

在音频工程中，高信噪比 signal to noise ratio 确保音乐清晰且没有背景噪音。

作文

In today's fast-paced world, we are constantly bombarded with information from various sources, whether it be through social media, news outlets, or personal interactions. As a result, the ability to discern valuable information from irrelevant noise has become increasingly important. This is where the concept of signal to noise ratio (SNR) comes into play. The term signal to noise ratio refers to the measure of the desired signal's strength relative to the background noise that interferes with it. A higher SNR indicates a clearer distinction between the signal and the noise, allowing for better decision-making and understanding.To illustrate the significance of signal to noise ratio, consider a musician trying to record a song in a studio. If the recording equipment picks up too much background noise, such as traffic or chatter, it becomes difficult to hear the music clearly. In this scenario, the music represents the 'signal' while the unwanted sounds represent the 'noise.' The goal of the musician and sound engineer is to achieve a high signal to noise ratio, ensuring that the music stands out prominently against the distractions.Similarly, in the realm of communication, whether verbal or written, maintaining a high signal to noise ratio is essential for effective interaction. When conveying ideas, it is crucial to eliminate unnecessary jargon, filler words, or irrelevant details that can obscure the main message. By focusing on clarity and conciseness, one can enhance the signal to noise ratio of their communication, making it easier for the audience to grasp the intended meaning.In academic research, the signal to noise ratio is equally vital. Researchers must sift through vast amounts of data to extract meaningful insights. A high SNR allows them to identify significant patterns and trends, while a low SNR may lead to misleading conclusions. Therefore, employing rigorous methodologies and analytical techniques is essential to improve the signal to noise ratio in research findings.Moreover, in the digital age, the concept of signal to noise ratio extends to the online environment. With the proliferation of information available at our fingertips, individuals must develop critical thinking skills to evaluate the credibility and relevance of the content they encounter. A high signal to noise ratio in the context of online information means being able to distinguish between trustworthy sources and unreliable ones, which is crucial for informed decision-making.In conclusion, the signal to noise ratio is a fundamental concept that applies to various aspects of life, from music production to communication and research. By striving to enhance the signal to noise ratio in our interactions and analyses, we can improve our understanding and make more informed choices. In a world filled with distractions and misinformation, cultivating the ability to identify and amplify the 'signal' while minimizing the 'noise' is an invaluable skill that can lead to greater clarity and success in both personal and professional endeavors.

在当今快节奏的世界中，我们不断受到来自各种来源的信息轰炸，无论是通过社交媒体、新闻媒体还是个人互动。因此，辨别有价值的信息与无关噪声的能力变得越来越重要。这就是信号与噪声比率（SNR）概念的重要性所在。信号与噪声比率指的是所需信号强度与干扰其背景噪声的相对测量。较高的SNR表示信号与噪声之间的区别更清晰，从而允许更好的决策和理解。为了说明信号与噪声比率的重要性，可以考虑一位音乐家在录音室试图录制一首歌。如果录音设备捕捉到了过多的背景噪声，比如交通或闲聊，就很难清楚地听到音乐。在这种情况下，音乐代表着“信号”，而不必要的声音则代表“噪声”。音乐家和音响工程师的目标是实现高信号与噪声比率，确保音乐在干扰中突显出来。同样，在交流领域，无论是口头还是书面，保持高的信号与噪声比率对于有效互动至关重要。在传达思想时，消除不必要的行话、填充词或无关细节，以免模糊主要信息至关重要。通过专注于清晰和简洁，人们可以提高交流中的信号与噪声比率，使观众更容易理解预期的含义。在学术研究中，信号与噪声比率同样至关重要。研究人员必须从大量数据中筛选出有意义的见解。高SNR使他们能够识别显著的模式和趋势，而低SNR可能导致误导性的结论。因此，采用严格的方法论和分析技术对于提高研究结果中的信号与噪声比率至关重要。此外，在数字时代，信号与噪声比率的概念扩展到在线环境。随着我们指尖上信息的激增，个人必须发展批判性思维技能，以评估他们遇到的内容的可信度和相关性。在线信息中的高信号与噪声比率意味着能够区分可靠来源和不可靠来源，这对明智的决策至关重要。总之，信号与噪声比率是一个基本概念，适用于生活的各个方面，从音乐制作到沟通和研究。通过努力提高我们互动和分析中的信号与噪声比率，我们可以改善我们的理解并做出更明智的选择。在一个充满干扰和错误信息的世界中，培养识别和放大“信号”同时最小化“噪声”的能力是一项宝贵的技能，可以在个人和职业追求中带来更大的清晰度和成功。