signal to noise and distortion

简明释义

信纳信号对噪声和失真比

英英释义

例句

1.In audio engineering, achieving a good signal to noise and distortion ratio is crucial for high-quality sound.

在音频工程中，获得良好的信号与噪声和失真比率对高质量声音至关重要。

2.When testing the new microphone, we measured the signal to noise and distortion to ensure it meets industry standards.

在测试新麦克风时，我们测量了信号与噪声和失真以确保其符合行业标准。

3.The signal to noise and distortion levels in this recording are too high, making it hard to hear the vocals clearly.

这段录音中的信号与噪声和失真水平过高，使得听清人声变得困难。

4.Engineers often strive to improve the signal to noise and distortion in their designs to enhance user experience.

工程师们常常努力改善他们设计中的信号与噪声和失真以提升用户体验。

5.A higher signal to noise and distortion ratio generally means better performance in communication systems.

更高的信号与噪声和失真比率通常意味着通信系统的性能更好。

作文

In today's world, we are constantly bombarded with information from various sources, ranging from social media to news outlets. This overwhelming influx of data can often lead to confusion and misinterpretation. To navigate through this chaos, it is essential to understand the concept of signal to noise and distortion. The term refers to the ratio of meaningful information (the signal) to irrelevant or misleading information (the noise) and any alterations that may distort the original message. When we talk about signal to noise and distortion, we are essentially discussing the clarity of communication in a world filled with distractions. For instance, consider the way we consume news today. With the rise of digital platforms, anyone can share their opinions, which can often overshadow factual reporting. In this context, the 'signal' represents the credible information provided by reliable sources, while the 'noise' includes sensational headlines and biased commentary that can lead to misinformation. Understanding signal to noise and distortion is crucial for critical thinking. It encourages individuals to sift through the noise to find valuable insights. For example, when researching a topic, one must distinguish between peer-reviewed studies and anecdotal evidence. The former serves as a strong signal, while the latter is often noise that can cloud judgment. By honing our skills in identifying these elements, we become more informed consumers of information.Moreover, the concept of signal to noise and distortion extends beyond just information consumption; it also applies to personal communication. In our daily interactions, misunderstandings can arise due to poor communication practices. When someone communicates their thoughts, the intended message is the signal, whereas interruptions, distractions, or emotional reactions can act as noise, distorting the original intent. Recognizing these factors can enhance our interpersonal relationships, allowing for clearer and more effective communication.In the realm of technology, signal to noise and distortion plays a significant role as well. For instance, in audio engineering, the goal is to maximize the signal (the desired sound) while minimizing noise (unwanted sounds or interference). Engineers work meticulously to ensure that recordings are clear and free from distortion, which is critical for producing high-quality audio. This analogy can be applied to various fields, such as data analysis, where the objective is to extract useful information from large datasets while filtering out irrelevant data points. In conclusion, the concept of signal to noise and distortion is an essential framework for understanding communication in our information-rich environment. By learning to identify the signal amidst the noise, we can enhance our critical thinking skills, improve our personal interactions, and excel in professional domains. As we continue to navigate through an increasingly complex world, embracing this concept will empower us to make informed decisions and foster meaningful connections. Therefore, it is vital to cultivate the ability to discern the valuable signals from the distracting noise, ensuring that we remain grounded in reality and not lost in the distortion.

在当今世界，我们不断受到来自各种来源的信息轰炸，从社交媒体到新闻媒体。这种信息的过量涌入往往会导致混淆和误解。为了在这种混乱中导航，理解信号与噪声和失真的概念至关重要。这个术语指的是有意义的信息（信号）与无关或误导性的信息（噪声）之间的比率，以及可能扭曲原始信息的任何变化。 当我们谈论信号与噪声和失真时，我们实际上是在讨论在充满干扰的世界中沟通的清晰度。例如，考虑一下我们今天如何消费新闻。随着数字平台的兴起，任何人都可以分享他们的观点，这往往会掩盖事实报道。在这种情况下，“信号”代表可靠来源提供的可信信息，而“噪声”则包括耸人听闻的标题和偏见评论，这些都可能导致错误信息。 理解信号与噪声和失真对批判性思维至关重要。它鼓励个人在噪声中筛选出有价值的见解。例如，在研究一个主题时，人们必须区分经过同行评审的研究和轶事证据。前者是强有力的信号，而后者往往是噪声，可能会模糊判断。通过提高识别这些元素的能力，我们可以成为更有见地的信息消费者。此外，信号与噪声和失真的概念不仅仅适用于信息消费；它同样适用于个人沟通。在我们的日常互动中，由于沟通不畅，误解可能会产生。当某人表达他们的想法时，意图传达的信息是信号，而干扰、分心或情绪反应可能会作为噪声，扭曲原始意图。认识到这些因素可以增强我们的人际关系，使沟通更加清晰和有效。在技术领域，信号与噪声和失真也发挥着重要作用。例如，在音频工程中，目标是最大化信号（所需的声音），同时最小化噪声（不必要的声音或干扰）。工程师们努力确保录音清晰且没有失真，这对于制作高质量音频至关重要。这个类比可以应用于各个领域，例如数据分析，其目标是从大量数据集中提取有用信息，同时过滤掉无关的数据点。 总之，信号与噪声和失真的概念是理解我们信息丰富环境中的沟通的重要框架。通过学习在噪声中识别信号，我们可以提高我们的批判性思维能力，改善个人互动，并在职业领域中脱颖而出。随着我们继续在一个日益复杂的世界中航行，拥抱这一概念将使我们能够做出明智的决策，并促进有意义的联系。因此，培养识别有价值信号与干扰噪声的能力至关重要，以确保我们保持现实，不被失真所迷失。