optimum signalnoise ratio

简明释义

最佳信噪比

英英释义

例句

1.In wireless communication, maintaining an optimum signal-noise ratio 最佳信噪比 helps reduce errors.

在无线通信中，保持最佳信噪比有助于减少错误。

2.To ensure clear communication, we must achieve the optimum signal-noise ratio 最佳信噪比 in our audio equipment.

为了确保清晰的沟通，我们必须在我们的音频设备中达到最佳信噪比。

3.The audio engineer adjusted the levels to find the optimum signal-noise ratio 最佳信噪比 for the recording.

音频工程师调整了音量，以找到录音的最佳信噪比。

4.The researchers found that the optimum signal-noise ratio 最佳信噪比 is crucial for accurate data transmission.

研究人员发现，最佳信噪比对于准确的数据传输至关重要。

5.We need to calibrate the sensors to achieve the optimum signal-noise ratio 最佳信噪比 before starting the experiment.

在开始实验之前，我们需要对传感器进行校准，以达到最佳信噪比。

作文

In today's world, we are constantly surrounded by various forms of communication technology. Whether it is through our smartphones, computers, or even in the realm of broadcasting, the clarity and quality of the signals we receive play a crucial role in our daily lives. One of the most important concepts in this field is the optimum signal-to-noise ratio, which refers to the ideal balance between the desired signal and the background noise that can interfere with its clarity. Understanding this concept is essential not only for engineers and technicians but also for anyone who relies on effective communication tools.The term 'signal-to-noise ratio' (SNR) is a measure used to quantify how much a signal has been corrupted by noise. A higher SNR indicates that the signal is clearer and more distinguishable from the noise, while a lower SNR suggests that the noise is overwhelming the signal, making it difficult to interpret. The optimum signal-to-noise ratio represents the point at which the clarity of the signal is maximized, allowing for the best possible communication experience.For example, consider a radio station broadcasting music. If the signal is strong and clear, listeners can enjoy their favorite songs without interruption. However, if there is too much static or interference—what we refer to as noise—the quality of the listening experience diminishes significantly. Engineers work tirelessly to achieve the optimum signal-to-noise ratio in broadcasting, ensuring that audiences receive the best quality sound possible.In the realm of digital communications, the optimum signal-to-noise ratio becomes even more critical. With the rise of streaming services and online communication platforms, maintaining a high-quality audio and visual experience is paramount. For instance, during a video call, if the signal is weak and the noise levels are high, participants may struggle to hear each other clearly, leading to misunderstandings and frustration. Thus, achieving the optimum signal-to-noise ratio ensures that communication remains effective and enjoyable.Moreover, the concept of optimum signal-to-noise ratio extends beyond just audio and visual communication. It applies to various fields, including telecommunications, medical imaging, and even environmental monitoring. In each case, the goal is to maximize the clarity of the signal while minimizing the interference from noise. For instance, in medical imaging, a higher SNR allows for clearer images, which can lead to more accurate diagnoses and better patient outcomes.In conclusion, the optimum signal-to-noise ratio is a vital concept that underpins effective communication across various technologies and industries. By striving to achieve this ideal balance, we can enhance our experiences, whether we are listening to music, participating in video calls, or interpreting complex data in scientific research. Understanding and applying the principles of the optimum signal-to-noise ratio will continue to be essential as technology advances and our reliance on clear communication grows.

在今天的世界里，我们不断被各种通信技术所包围。无论是通过我们的智能手机、计算机，还是在广播领域中，我们接收到的信号的清晰度和质量在我们的日常生活中扮演着至关重要的角色。在这个领域中，最重要的概念之一是最佳信噪比，它指的是期望信号与可能干扰其清晰度的背景噪声之间的理想平衡。理解这一概念不仅对工程师和技术人员至关重要，也对任何依赖有效沟通工具的人来说都非常重要。“信噪比”（SNR）是一个用于量化信号受到噪声干扰程度的度量。较高的信噪比表明信号更清晰，更容易与噪声区分开，而较低的信噪比则表明噪声压倒了信号，使其难以解读。最佳信噪比代表了信号清晰度最大化的点，从而允许最佳的沟通体验。例如，考虑一个广播电台播放音乐。如果信号强且清晰，听众可以愉快地享受他们最喜欢的歌曲。然而，如果有太多的静电或干扰——我们称之为噪声——收听体验的质量显著下降。工程师们不懈努力，以实现广播中的最佳信噪比，确保观众获得最佳的音质。在数字通信领域，最佳信噪比变得更加关键。随着流媒体服务和在线交流平台的兴起，保持高质量的音频和视觉体验至关重要。例如，在视频通话中，如果信号弱且噪声水平高，参与者可能会很难清楚地听到彼此，从而导致误解和挫败感。因此，实现最佳信噪比确保沟通保持有效和愉快。此外，最佳信噪比的概念超越了音频和视觉通信。它适用于各个领域，包括电信、医学成像，甚至环境监测。在每种情况下，目标都是在尽量减少噪声干扰的同时最大化信号的清晰度。例如，在医学成像中，较高的信噪比允许更清晰的图像，这可以导致更准确的诊断和更好的患者结果。总之，最佳信噪比是支撑各种技术和行业有效沟通的重要概念。通过努力实现这一理想平衡，我们可以增强我们的体验，无论是听音乐、参加视频通话，还是在科学研究中解读复杂数据。理解和应用最佳信噪比的原则将在技术进步和我们对清晰沟通的依赖日益增长的过程中继续发挥重要作用。