adaptive signal discrimination

简明释义

自适应信号鉴别;

英英释义

例句

1.In biomedical applications, adaptive signal discrimination is crucial for accurately detecting vital signals.

在生物医学应用中，自适应信号辨别对于准确检测生命信号至关重要。

2.The new communication system employs adaptive signal discrimination to filter out background noise effectively.

新通信系统采用自适应信号辨别技术有效过滤背景噪声。

3.Researchers are developing algorithms that enhance adaptive signal discrimination in wireless networks.

研究人员正在开发增强无线网络中自适应信号辨别的算法。

4.With adaptive signal discrimination, the audio device can automatically adjust to various sound environments.

通过自适应信号辨别，音频设备可以自动调整以适应各种声音环境。

5.The radar system uses adaptive signal discrimination to distinguish between different types of objects.

雷达系统利用自适应信号辨别来区分不同类型的物体。

作文

In the modern world, technology has advanced to a point where we are constantly bombarded with signals from various sources. These signals can come from our smartphones, computers, and even environmental sensors. As a result, the ability to process and differentiate between these signals has become increasingly important. One of the key concepts that has emerged in this field is adaptive signal discrimination, which refers to the process of dynamically identifying and separating different signals based on their characteristics and context. This capability is essential for improving the efficiency of communication systems and ensuring that the relevant information is accurately conveyed.The term adaptive signal discrimination encompasses a range of techniques and algorithms designed to enhance the performance of signal processing systems. It allows systems to adaptively filter out noise, recognize patterns, and prioritize certain signals over others. For example, in a crowded environment where multiple conversations are happening simultaneously, an individual can still focus on a specific conversation by using adaptive signal discrimination. The brain naturally employs this technique, allowing us to tune into one voice while ignoring others.In telecommunications, adaptive signal discrimination plays a crucial role in improving the clarity and quality of voice and data transmissions. By leveraging sophisticated algorithms, telecommunication systems can adjust their parameters in real-time, filtering out interference and enhancing the desired signal. This adaptability is particularly important in mobile communications, where users frequently move in and out of different signal environments, such as urban areas with tall buildings or rural regions with limited coverage.Moreover, adaptive signal discrimination is also vital in various fields such as medicine and environmental monitoring. In medical imaging, for instance, it can help distinguish between healthy and unhealthy tissue by analyzing the signals emitted from different types of cells. Similarly, in environmental science, researchers utilize adaptive signal discrimination to identify specific pollutants in air or water samples, enabling more effective monitoring and response strategies.The significance of adaptive signal discrimination extends beyond technical applications; it also influences our daily lives. With the rise of artificial intelligence and machine learning, systems that incorporate adaptive signal discrimination are becoming increasingly prevalent. Virtual assistants, for example, rely on this technology to understand user commands amidst background noise, thereby providing a seamless interaction experience.In conclusion, adaptive signal discrimination is a fundamental concept in the realm of signal processing that enables the effective differentiation and management of signals in various contexts. Its applications range from telecommunications and medical imaging to environmental monitoring and artificial intelligence. As technology continues to evolve, the importance of adaptive signal discrimination will only grow, shaping how we interact with the world around us and improving the efficiency of numerous systems. Understanding and harnessing this capability will be crucial for future advancements across multiple disciplines.

在现代社会，科技已经发展到一个阶段，我们不断受到来自各种来源的信号轰炸。这些信号可以来自我们的智能手机、计算机，甚至环境传感器。因此，处理和区分这些信号的能力变得越来越重要。在这个领域中，一个关键概念是自适应信号辨别，它指的是根据信号的特征和上下文动态识别和分离不同信号的过程。这种能力对于提高通信系统的效率和确保相关信息的准确传递至关重要。术语自适应信号辨别涵盖了一系列技术和算法，旨在增强信号处理系统的性能。它允许系统自适应地过滤噪声、识别模式，并优先考虑某些信号。例如，在一个拥挤的环境中，当多个对话同时进行时，个体仍然可以通过使用自适应信号辨别专注于特定的对话。大脑自然地采用这种技术，使我们能够在忽略其他声音的同时，专注于一个声音。在电信领域，自适应信号辨别在提高语音和数据传输的清晰度和质量方面发挥着至关重要的作用。通过利用复杂的算法，电信系统能够实时调整其参数，过滤干扰并增强所需信号。这种适应性在移动通信中特别重要，因为用户经常在不同信号环境中移动，例如高楼林立的城市地区或覆盖有限的农村地区。此外，自适应信号辨别在医学和环境监测等各个领域也至关重要。在医学成像中，例如，它可以通过分析不同类型细胞发出的信号来帮助区分健康组织和不健康组织。同样，在环境科学中，研究人员利用自适应信号辨别来识别空气或水样本中的特定污染物，从而实现更有效的监测和响应策略。自适应信号辨别的重要性不仅限于技术应用；它还影响着我们的日常生活。随着人工智能和机器学习的兴起，包含自适应信号辨别的系统变得越来越普遍。例如，虚拟助手依赖于这项技术，在背景噪声中理解用户命令，从而提供无缝的互动体验。总之，自适应信号辨别是信号处理领域的一个基本概念，使得在各种上下文中有效区分和管理信号成为可能。它的应用范围从电信和医学成像到环境监测和人工智能。随着技术的不断发展，自适应信号辨别的重要性只会增加，塑造我们与周围世界的互动方式，提高众多系统的效率。理解和利用这一能力对于未来在多个学科的进步至关重要。