spurious signal

简明释义

乱真信号

英英释义

例句

1.The presence of a spurious signal can lead to incorrect conclusions in scientific research.

存在虚假信号可能导致科学研究中的错误结论。

2.During the experiment, we had to filter out the spurious signal to obtain accurate results.

在实验过程中，我们必须过滤掉虚假信号以获得准确的结果。

3.The researchers identified a spurious signal in the data that was caused by equipment malfunction.

研究人员在数据中识别出一个由设备故障引起的虚假信号。

4.Engineers used advanced algorithms to detect and eliminate any spurious signals in the communication system.

工程师们使用先进的算法来检测和消除通信系统中的任何虚假信号。

5.The spurious signal interfered with our ability to measure the actual frequency.

这个虚假信号干扰了我们测量实际频率的能力。

作文

In the world of communication and signal processing, the term spurious signal refers to unwanted or misleading signals that can interfere with the intended transmission of information. These signals can arise from various sources, including electronic noise, interference from other devices, or even reflections from physical structures. Understanding the concept of spurious signal is crucial for engineers and technicians who design and maintain communication systems. For instance, consider a scenario where a radio station is broadcasting a clear signal to its listeners. However, if there are spurious signals present in the environment, they can distort the original broadcast, leading to a poor listening experience. This distortion can manifest as static, crackling noises, or even complete loss of audio. In such cases, the listener may become frustrated and unable to enjoy their favorite programs. Thus, minimizing spurious signals is essential for maintaining high-quality communication. The presence of spurious signals is not limited to radio broadcasts; it can also be observed in digital communications, such as Wi-Fi networks and cellular services. For example, when multiple devices are connected to a single Wi-Fi router, they may generate spurious signals that can cause congestion and reduce the overall speed of the network. This phenomenon is particularly noticeable in densely populated areas where many users are competing for bandwidth. As a result, network engineers must implement strategies to filter out spurious signals and ensure efficient data transmission. One effective method for combating spurious signals involves the use of advanced filtering techniques. Filters can be designed to allow only the desired frequencies to pass through while blocking out unwanted signals. This process not only improves the clarity of the transmitted information but also enhances the overall performance of the communication system. Engineers continuously research and develop new filtering methods to keep up with the ever-evolving landscape of technology. Additionally, the concept of spurious signals extends beyond the realm of electronics. In scientific research, for example, researchers often encounter spurious signals in their data analysis. These misleading signals can arise from experimental errors, equipment malfunctions, or external environmental factors. If not properly identified and addressed, spurious signals can lead to incorrect conclusions and hinder scientific progress. Therefore, scientists employ rigorous methodologies to detect and eliminate spurious signals from their data sets, ensuring that their findings are accurate and reliable. In conclusion, the term spurious signal encompasses a range of unwanted signals that can disrupt communication and data integrity across various fields. From radio broadcasts to digital networks and scientific research, the impact of spurious signals is significant and far-reaching. By understanding and addressing these challenges, professionals in the field can enhance the quality of their work and contribute to more effective communication systems and reliable scientific discoveries.

在通信和信号处理的世界中，术语spurious signal指的是不必要或误导性的信号，这些信号可能干扰信息的预期传输。这些信号可以来自各种来源，包括电子噪声、其他设备的干扰，甚至是物理结构的反射。理解spurious signal的概念对设计和维护通信系统的工程师和技术人员至关重要。例如，考虑一个场景，一个广播电台正在向听众播送清晰的信号。然而，如果环境中存在spurious signals，它们可能会扭曲原始广播，导致糟糕的收听体验。这种扭曲可能表现为静态、噼啪声，甚至完全失去音频。在这种情况下，听众可能会感到沮丧，无法享受他们最喜欢的节目。因此，尽量减少spurious signals对于保持高质量的通信至关重要。spurious signals的存在不仅限于广播；还可以在数字通信中观察到，例如Wi-Fi网络和蜂窝服务。例如，当多个设备连接到单个Wi-Fi路由器时，它们可能会生成spurious signals，这可能导致拥堵并降低网络的整体速度。这种现象在许多用户争夺带宽的密集区域尤为明显。因此，网络工程师必须实施策略以过滤掉spurious signals，确保高效的数据传输。一种有效应对spurious signals的方法是使用先进的过滤技术。可以设计过滤器以允许只有所需频率通过，同时阻止不必要的信号。这一过程不仅改善了传输信息的清晰度，还增强了通信系统的整体性能。工程师们不断研究和开发新的过滤方法，以跟上技术不断发展的步伐。此外，spurious signals的概念超越了电子学的领域。在科学研究中，例如，研究人员经常在数据分析中遇到spurious signals。这些误导性信号可能源于实验错误、设备故障或外部环境因素。如果不正确识别和解决，spurious signals可能导致错误的结论，并阻碍科学进步。因此，科学家们采用严格的方法来检测和消除数据集中的spurious signals，确保他们的发现准确可靠。总之，术语spurious signal涵盖了一系列不必要的信号，这些信号可能在各个领域中破坏通信和数据完整性。从广播到数字网络和科学研究，spurious signals的影响显著且深远。通过理解和应对这些挑战，行业专业人士可以提高工作质量，为更有效的通信系统和可靠的科学发现做出贡献。