noise equivalent

简明释义

等效杂波

英英释义

例句

1.The noise equivalent of the sensor is crucial for determining its sensitivity in low-light conditions.

传感器的噪声当量对于确定其在低光条件下的灵敏度至关重要。

2.When calibrating the equipment, we must consider the noise equivalent to ensure accuracy.

在校准设备时，我们必须考虑噪声当量以确保准确性。

3.A lower noise equivalent indicates a higher quality of measurement in scientific instruments.

较低的噪声当量表示科学仪器测量质量更高。

4.In audio engineering, understanding the noise equivalent helps in designing better microphones.

在音频工程中，理解噪声当量有助于设计更好的麦克风。

5.The noise equivalent of this amplifier affects the overall signal-to-noise ratio.

这个放大器的噪声当量影响整体信噪比。

作文

In the realm of engineering and physics, understanding the concept of noise equivalent is crucial for designing effective systems. The term noise equivalent refers to the amount of noise that can be considered equivalent to a certain signal or measurement. This concept is especially important in fields such as telecommunications, audio engineering, and sensor technology, where the clarity and quality of signals can significantly affect performance. To illustrate the importance of noise equivalent, let us consider a practical example in audio engineering. When recording sound, engineers strive to capture the purest form of audio possible. However, every recording device has inherent noise, which can distort the final product. The noise equivalent level of a microphone, for instance, indicates the minimum sound level that can be recorded above the background noise. A lower noise equivalent value means that the microphone can pick up quieter sounds without interference from noise, thus resulting in a higher-quality recording.Moreover, the noise equivalent concept extends beyond audio applications. In telecommunications, engineers must account for noise equivalent when designing systems for transmitting data over long distances. Background noise can interfere with signals, leading to data loss or corruption. By understanding the noise equivalent of different components in a communication system, engineers can optimize the design to minimize noise and improve signal integrity.In sensor technology, the noise equivalent figure is equally significant. Sensors are used in various applications, from environmental monitoring to medical diagnostics. The noise equivalent of a sensor determines its sensitivity and accuracy. For instance, a temperature sensor with a high noise equivalent may struggle to detect small changes in temperature, while one with a low noise equivalent can provide precise readings even in noisy environments. Understanding noise equivalent allows engineers and scientists to make informed decisions about the equipment they use and the environments in which they operate. It plays a vital role in ensuring that systems function optimally and produce reliable results. Therefore, it is essential for professionals in these fields to grasp the implications of noise equivalent in their work.In summary, the concept of noise equivalent is fundamental in various technical disciplines. By comprehending what noise equivalent signifies and how it impacts system performance, engineers can enhance the quality of their designs and achieve better outcomes in their projects. As technology continues to evolve, the significance of noise equivalent will undoubtedly remain a key consideration in the pursuit of excellence in engineering and scientific research.

在工程和物理学领域，理解“噪声当量”这一概念对于设计有效的系统至关重要。术语“噪声当量”指的是可以视为某一特定信号或测量的等效噪声量。这个概念在电信、音频工程和传感器技术等领域尤其重要，因为信号的清晰度和质量会显著影响性能。为了说明“噪声当量”的重要性，让我们考虑一个音频工程中的实际例子。在录制声音时，工程师们努力捕捉尽可能纯净的音频。然而，每个录音设备都有固有的噪声，这可能会扭曲最终产品。例如，麦克风的“噪声当量”水平表示可以在背景噪声之上录制的最小声音水平。较低的“噪声当量”值意味着麦克风能够在不受噪声干扰的情况下拾取更安静的声音，从而产生更高质量的录音。此外，“噪声当量”的概念不仅限于音频应用。在电信中，工程师在设计长距离数据传输系统时必须考虑“噪声当量”。背景噪声可能会干扰信号，导致数据丢失或损坏。通过了解通信系统中不同组件的“噪声当量”，工程师可以优化设计以最小化噪声并提高信号完整性。在传感器技术中，“噪声当量”的数值同样重要。传感器用于各种应用，从环境监测到医疗诊断。“噪声当量”决定了传感器的灵敏度和准确性。例如，一个具有高“噪声当量”的温度传感器可能难以检测温度的微小变化，而一个具有低“噪声当量”的传感器即使在嘈杂环境中也能提供精确的读数。理解“噪声当量”使工程师和科学家能够对所使用的设备以及操作的环境做出明智的决策。它在确保系统最佳运行和产生可靠结果方面发挥着至关重要的作用。因此，这些领域的专业人士掌握“噪声当量”的含义及其在工作中的影响是至关重要的。总之，“噪声当量”的概念在各个技术学科中都是基础性的。通过理解“噪声当量”的意义及其对系统性能的影响，工程师可以提高设计质量，并在项目中获得更好的成果。随着技术的不断发展，“噪声当量”的重要性无疑将继续成为工程和科学研究追求卓越的关键考虑因素。