noise density

简明释义

噪声密度

英英释义

例句

1.The noise density 噪声密度 in urban areas can significantly affect the quality of life.

城市地区的噪声密度 噪声密度会显著影响生活质量。

2.A high noise density 噪声密度 can lead to hearing loss over time.

高噪声密度 噪声密度可能导致听力损失。

3.The noise density 噪声密度 of the environment is an important factor in wildlife studies.

环境的噪声密度 噪声密度是野生动物研究中的一个重要因素。

4.Engineers measure the noise density 噪声密度 to ensure that the machinery operates within acceptable limits.

工程师测量噪声密度 噪声密度以确保机器在可接受的范围内运行。

5.In telecommunications, reducing the noise density 噪声密度 improves signal clarity.

在电信中，减少噪声密度 噪声密度可以提高信号清晰度。

作文

In the realm of signal processing and communication systems, the concept of noise density plays a crucial role in understanding the quality of signals. Noise density refers to the amount of noise present in a system per unit bandwidth, typically measured in watts per hertz (W/Hz). It is an essential parameter that helps engineers and scientists quantify the level of unwanted disturbances that can affect the clarity and integrity of transmitted information.To illustrate the significance of noise density, let’s consider a common scenario in telecommunications. When a message is sent over a long-distance line, it is inevitable that various forms of noise will interfere with the signal. This noise can originate from numerous sources, including electronic devices, environmental factors, and even cosmic radiation. By analyzing the noise density, engineers can determine how much of this interference is present and how it might impact the overall performance of the communication system.One of the primary challenges in designing effective communication systems is ensuring that the signal-to-noise ratio (SNR) is sufficiently high. The SNR is a measure of the desired signal strength compared to the background noise, and it is directly influenced by noise density. A lower noise density means that there is less noise present, which in turn allows for a clearer signal. Therefore, engineers strive to minimize noise density through various techniques such as shielding, filtering, and using advanced modulation schemes.Moreover, understanding noise density is not only important in telecommunications but also in fields like audio engineering, where the quality of sound reproduction is paramount. In this context, noise density can affect the listening experience significantly. For instance, when recording music, a high noise density can lead to a muddy sound, making it difficult for listeners to appreciate the nuances of the performance. Audio engineers often use equipment designed to reduce noise density, ensuring that the final product is crisp and clear.In addition to its applications in telecommunications and audio engineering, noise density is also relevant in scientific research, particularly in fields like astrophysics and environmental monitoring. Instruments used to detect faint signals from distant stars or measure subtle changes in the environment must account for noise density to ensure accurate readings. Researchers meticulously calibrate their instruments to minimize noise density, allowing them to distinguish between genuine signals and background noise.In conclusion, noise density is a fundamental concept that permeates various fields, from telecommunications to audio engineering and scientific research. It quantifies the amount of noise in a system and serves as a critical factor in determining the quality and reliability of signals. By effectively managing and reducing noise density, professionals can enhance signal clarity, improve user experiences, and advance scientific discoveries. As technology continues to evolve, the importance of understanding and controlling noise density will only grow, highlighting its significance in our increasingly interconnected world.

在信号处理和通信系统领域，噪声密度的概念在理解信号质量方面起着至关重要的作用。噪声密度指的是系统中每单位带宽内存在的噪声量，通常以瓦特每赫兹（W/Hz）为单位进行测量。这是一个重要的参数，帮助工程师和科学家量化可能影响传输信息的清晰度和完整性的干扰水平。为了说明噪声密度的重要性，让我们考虑一个常见的电信场景。当一条消息通过长距离线路发送时，各种形式的噪声不可避免地会干扰信号。这些噪声可以来自许多来源，包括电子设备、环境因素，甚至是宇宙辐射。通过分析噪声密度，工程师可以确定这种干扰的程度，以及它对通信系统整体性能的影响。设计高效的通信系统面临的主要挑战之一是确保信噪比（SNR）足够高。信噪比是期望信号强度与背景噪声之比的度量，直接受噪声密度的影响。较低的噪声密度意味着噪声较少，这反过来又允许更清晰的信号。因此，工程师们努力通过屏蔽、过滤和使用先进的调制方案等各种技术来最小化噪声密度。此外，理解噪声密度不仅在电信领域重要，在音频工程中也是至关重要的，因为声音再现的质量是至关重要的。在这种情况下，噪声密度会显著影响聆听体验。例如，在录制音乐时，高噪声密度可能导致声音模糊，使听众难以欣赏表演的细微差别。音频工程师通常使用旨在减少噪声密度的设备，以确保最终产品清晰明了。除了在电信和音频工程中的应用外，噪声密度在科学研究中也相关，特别是在天体物理学和环境监测等领域。用于检测来自遥远星星的微弱信号或测量环境中微妙变化的仪器必须考虑噪声密度以确保准确读取。研究人员仔细校准他们的仪器，以最小化噪声密度，使他们能够区分真实信号和背景噪声。总之，噪声密度是一个基本概念，渗透到各个领域，从电信到音频工程和科学研究。它量化了系统中的噪声量，并作为确定信号质量和可靠性的关键因素。通过有效管理和减少噪声密度，专业人士可以增强信号清晰度、改善用户体验并推动科学发现。随着技术的不断发展，理解和控制噪声密度的重要性只会增加，突显出它在我们日益互联的世界中的重要性。