interference prediction

简明释义

干扰预测

英英释义

例句

1.The software includes a feature for interference prediction that helps users avoid signal loss.

该软件包含一个干扰预测功能，帮助用户避免信号丢失。

2.By using advanced algorithms, we can enhance interference prediction accuracy in wireless networks.

通过使用先进的算法，我们可以提高无线网络中干扰预测的准确性。

3.Effective interference prediction can significantly reduce downtime in network operations.

有效的干扰预测可以显著减少网络操作中的停机时间。

4.The research team focused on interference prediction to improve communication systems.

研究团队专注于干扰预测以改善通信系统。

5.Engineers rely on interference prediction models to design better antenna systems.

工程师依赖于干扰预测模型来设计更好的天线系统。

作文

In the realm of science and technology, the concept of interference prediction plays a crucial role in understanding and mitigating various forms of interference that can affect systems and processes. Interference can occur in multiple contexts, including telecommunications, signal processing, and even in natural phenomena. The ability to predict interference is essential for ensuring the reliability and efficiency of systems that rely on clear communication and data transmission.One of the primary applications of interference prediction is in the field of telecommunications. As mobile devices and wireless networks become increasingly prevalent, the potential for interference between signals from different sources rises significantly. This interference can lead to degraded performance, dropped calls, and poor data transmission rates. By employing advanced algorithms and models, engineers can analyze the environment and predict potential interference points. This allows them to design systems that can minimize the impact of interference, thus enhancing the overall user experience.Moreover, interference prediction is not limited to telecommunications alone. In the field of signal processing, it is vital for applications such as audio and video transmission. For instance, during a live concert, multiple microphones might pick up overlapping sounds, leading to feedback and distortion. By predicting where these interferences might occur, sound engineers can adjust the settings in real-time to ensure a clear and enjoyable auditory experience for the audience.In addition to technological applications, interference prediction is also relevant in environmental sciences. For example, when studying animal behavior, researchers may need to consider how human activities interfere with natural habitats. Predicting these interferences can help in developing strategies to mitigate their impact, ensuring the preservation of biodiversity and the protection of endangered species.The importance of interference prediction extends to various other fields, including aviation, where the prediction of weather-related interference can significantly enhance flight safety. Pilots and air traffic controllers rely on accurate predictions to navigate through turbulent weather conditions and avoid potential hazards. By utilizing sophisticated modeling techniques, they can foresee interference caused by storms or other atmospheric phenomena, allowing for safer and more efficient flight operations.In conclusion, the concept of interference prediction is integral to many aspects of modern life. Whether in telecommunications, signal processing, environmental studies, or aviation, the ability to predict and manage interference is essential for optimizing performance and ensuring safety. As technology continues to advance, the methods and tools used for interference prediction will likely evolve, providing even greater accuracy and reliability. Understanding this concept is not only important for professionals in these fields but also for anyone who relies on technology in their daily lives, as it underscores the complexities involved in maintaining clear and effective communication across various platforms.

在科学和技术领域，干扰预测的概念在理解和减轻各种可能影响系统和过程的干扰方面起着至关重要的作用。干扰可以在多个上下文中发生，包括电信、信号处理，甚至自然现象。预测干扰的能力对于确保依赖清晰通信和数据传输的系统的可靠性和效率至关重要。干扰预测的主要应用之一是在电信领域。随着移动设备和无线网络的日益普及，不同来源信号之间干扰的潜力显著上升。这种干扰可能导致性能下降、通话中断和数据传输速率降低。通过采用先进的算法和模型，工程师可以分析环境并预测潜在的干扰点。这使他们能够设计出能够最小化干扰影响的系统，从而提高整体用户体验。此外，干扰预测不仅限于电信。在信号处理领域，它对音频和视频传输等应用至关重要。例如，在现场音乐会期间，多个麦克风可能会接收到重叠的声音，导致反馈和失真。通过预测这些干扰可能发生的位置，音响工程师可以实时调整设置，以确保观众获得清晰愉悦的听觉体验。除了技术应用，干扰预测在环境科学中也具有相关性。例如，在研究动物行为时，研究人员可能需要考虑人类活动如何干扰自然栖息地。预测这些干扰可以帮助制定减轻其影响的策略，确保生物多样性的保护和濒危物种的保护。干扰预测的重要性延伸到许多其他领域，包括航空业，在那里，预测天气相关的干扰可以显著增强飞行安全。飞行员和空中交通管制员依赖准确的预测来应对动荡的天气条件并避免潜在的危险。通过利用复杂的建模技术，他们可以预见由暴风雨或其他大气现象引起的干扰，从而实现更安全、更高效的飞行操作。总之，干扰预测的概念是现代生活许多方面不可或缺的一部分。无论是在电信、信号处理、环境研究还是航空领域，预测和管理干扰的能力对于优化性能和确保安全至关重要。随着技术的不断进步，用于干扰预测的方法和工具可能会不断演变，提供更高的准确性和可靠性。理解这一概念不仅对这些领域的专业人士重要，也对任何在日常生活中依赖技术的人至关重要，因为它突显了在各个平台上保持清晰有效沟通所涉及的复杂性。