intrinsic noise

简明释义

固有噪声

英英释义

例句

1.Researchers are studying how intrinsic noise affects the accuracy of biological measurements.

研究人员正在研究内在噪声如何影响生物测量的准确性。

2.To improve signal clarity, engineers must account for intrinsic noise in their designs.

为了提高信号清晰度，工程师必须在设计中考虑内在噪声。

3.In quantum mechanics, intrinsic noise refers to the uncertainty inherent in the measurement process.

在量子力学中，内在噪声指的是测量过程固有的不确定性。

4.The intrinsic noise of a semiconductor device can limit its performance in high-frequency applications.

半导体设备的内在噪声可能会限制其在高频应用中的性能。

5.The intrinsic noise in optical systems can lead to errors in image processing.

光学系统中的内在噪声可能导致图像处理中的错误。

作文

In the realm of scientific research and engineering, the concept of intrinsic noise (内在噪声) plays a critical role in understanding the limitations of various systems. Intrinsic noise refers to the inherent fluctuations or variations that are present in a system, regardless of external influences. This type of noise is often seen in electronic devices, biological systems, and even in social sciences, where unpredictable variations can significantly affect outcomes.For instance, in electronics, intrinsic noise arises from the thermal agitation of charge carriers within a conductor. This phenomenon is known as Johnson-Nyquist noise, which occurs even in the absence of any external signal. It is crucial for engineers to account for this noise when designing circuits, as it can limit the performance of amplifiers and other sensitive equipment. Understanding intrinsic noise allows engineers to implement strategies to minimize its impact, such as using low-noise components or optimizing circuit design.In biological systems, intrinsic noise can be observed at the cellular level, where random fluctuations in gene expression can lead to significant variability in cell behavior. This variability can influence how cells respond to environmental changes, impacting processes such as development, disease progression, and treatment efficacy. Researchers studying these systems must consider intrinsic noise to accurately model biological processes and predict outcomes in experiments.Moreover, in the field of social sciences, intrinsic noise can manifest as unpredictable human behavior. The inherent variability in decision-making processes, influenced by individual experiences, emotions, and cognitive biases, introduces a level of noise that complicates the analysis of social phenomena. By acknowledging intrinsic noise, social scientists can develop more robust models that account for the unpredictability of human actions.Despite its challenges, intrinsic noise also presents opportunities for innovation. In some cases, the variability introduced by intrinsic noise can be harnessed to improve system performance. For example, in machine learning, algorithms that incorporate randomness can avoid overfitting and enhance generalization capabilities. By leveraging intrinsic noise, researchers can create more adaptive and resilient systems that better respond to complex environments.In conclusion, intrinsic noise (内在噪声) is a fundamental aspect of various fields, influencing everything from electronic devices to biological systems and social behaviors. While it poses challenges in terms of predictability and control, understanding and managing intrinsic noise can lead to advancements in technology and science. As we continue to explore the implications of intrinsic noise, it is essential to recognize its dual nature—both as a hurdle and as a potential catalyst for innovation. By embracing the complexities of intrinsic noise, researchers and engineers can unlock new possibilities and drive progress in their respective fields.