fluctuating signal

简明释义

起伏信号

英英释义

例句

1.We need to find a solution for the fluctuating signal that affects our internet connection.

我们需要找到解决影响我们互联网连接的信号波动的方案。

2.The technician adjusted the antenna to stabilize the fluctuating signal from the satellite.

技术员调整天线以稳定来自卫星的信号波动。

3.During the storm, we experienced a fluctuating signal on our mobile devices.

在暴风雨期间，我们的移动设备上出现了信号波动。

4.The radio reception was poor due to a fluctuating signal, making it hard to listen to the station.

由于信号波动，收音机接收效果差，听广播很困难。

5.The fluctuating signal caused interruptions during the video conference.

信号波动导致视频会议中断。

作文

In the realm of communication technology, understanding the concept of a fluctuating signal is crucial for both engineers and everyday users. A fluctuating signal refers to a type of signal that experiences variations in amplitude or frequency over time. These fluctuations can occur due to various factors, including environmental conditions, interference from other signals, or limitations in the transmission medium. For instance, when you are on a mobile phone call, you may notice that the quality of your voice fluctuates, sometimes becoming clearer and at other times distorted. This phenomenon is often attributed to a fluctuating signal, which can be influenced by physical obstructions, such as buildings or trees, as well as the distance from the cell tower.The importance of addressing fluctuating signals cannot be overstated. In many applications, especially those involving critical data transmission, maintaining a stable signal is essential. For example, in medical telemetry, where patient vital signs are transmitted to a healthcare provider in real time, a fluctuating signal could lead to misinterpretations of a patient's condition. Therefore, engineers work tirelessly to develop technologies that can minimize these fluctuations. Techniques such as error correction algorithms, signal amplification, and the use of repeaters are common strategies employed to stabilize these signals.Moreover, the study of fluctuating signals extends beyond telecommunications. In fields like meteorology, scientists analyze fluctuating signals from weather satellites to predict storms and other weather patterns. These fluctuations can provide valuable insights into atmospheric changes, helping communities prepare for severe weather events. Similarly, in the field of finance, analysts monitor fluctuating signals in stock prices to make informed investment decisions. The ability to interpret these fluctuations accurately can significantly impact financial outcomes.Despite the challenges presented by fluctuating signals, they also present opportunities for innovation. Researchers are continually exploring new methods to enhance signal stability. For example, advancements in machine learning and artificial intelligence are being applied to predict and mitigate the effects of signal fluctuations. By analyzing vast amounts of data, these technologies can identify patterns and suggest optimal solutions to improve signal quality.In conclusion, the concept of a fluctuating signal is integral to various sectors, from telecommunications to finance and meteorology. Understanding its implications allows us to appreciate the complexities of modern communication and data transmission. As technology continues to evolve, so too will our approaches to managing and mitigating the effects of fluctuating signals. Embracing these challenges will ultimately lead to more reliable systems and improved outcomes in numerous fields.

在通信技术领域，理解“波动信号”的概念对于工程师和普通用户都至关重要。“波动信号”指的是一种信号，其幅度或频率随时间发生变化。这些波动可能由于多种因素而发生，包括环境条件、其他信号的干扰或传输介质的限制。例如，当你在手机通话时，你可能会注意到你的声音质量波动，有时变得更清晰，而有时则失真。这种现象通常归因于“波动信号”，它可能受到物理障碍（如建筑物或树木）以及与基站的距离的影响。解决“波动信号”问题的重要性不容小觑。在许多应用中，尤其是涉及关键数据传输的场合，保持稳定信号至关重要。例如，在医疗遥测中，患者的生命体征实时传输给医疗提供者，如果信号波动，可能导致对患者状况的误解。因此，工程师们不懈努力开发能够最小化这些波动的技术。常用的策略包括错误校正算法、信号放大和使用中继器等。此外，“波动信号”的研究不仅限于电信。在气象学领域，科学家分析来自气象卫星的波动信号，以预测风暴和其他天气模式。这些波动可以为大气变化提供宝贵的见解，帮助社区为严重天气事件做好准备。同样，在金融领域，分析师监控股票价格的波动信号，以做出明智的投资决策。准确解读这些波动的能力可以显著影响财务结果。尽管“波动信号”带来了挑战，但它们也为创新提供了机会。研究人员不断探索增强信号稳定性的新的方法。例如，机器学习和人工智能的进步被应用于预测和减轻信号波动的影响。通过分析大量数据，这些技术能够识别模式并建议最佳解决方案以改善信号质量。总之，“波动信号”的概念在各个领域中都具有重要意义，从电信到金融再到气象。理解其影响使我们能够欣赏现代通信和数据传输的复杂性。随着技术的不断发展，我们对管理和减轻“波动信号”影响的方法也将不断演变。迎接这些挑战最终将导致更可靠的系统和各个领域的改善结果。