sampling frequency

简明释义

采样频率

英英释义

例句

1.The sampling frequency 采样频率 determines how accurately the original signal is represented.

该采样频率 sampling frequency 决定了原始信号的表示精度。

2.If the sampling frequency 采样频率 is too low, aliasing can occur in the signal.

如果采样频率 sampling frequency 太低，信号中可能会出现混叠现象。

3.In digital signal processing, a higher sampling frequency 采样频率 can lead to better quality.

在数字信号处理过程中，更高的采样频率 sampling frequency 可以带来更好的质量。

4.For video applications, a common sampling frequency 采样频率 is 30 frames per second.

对于视频应用，常见的采样频率 sampling frequency 是每秒 30 帧。

5.The sampling frequency 采样频率 of the audio recording was set to 44.1 kHz.

音频录音的采样频率 sampling frequency 设置为 44.1 kHz。

作文

In the realm of digital signal processing, one of the fundamental concepts is the sampling frequency, which refers to the rate at which a continuous signal is sampled to convert it into a discrete signal. The sampling frequency is crucial because it determines how accurately the original signal can be reconstructed from its samples. If the sampling frequency is too low, important information may be lost, leading to a phenomenon known as aliasing. This occurs when higher frequency components of the signal are misrepresented as lower frequencies due to inadequate sampling. To avoid this, the Nyquist theorem states that the sampling frequency must be at least twice the highest frequency present in the signal. For example, if a signal contains frequencies up to 20 kHz, the sampling frequency should be at least 40 kHz to ensure accurate representation.In practical applications, the choice of sampling frequency can greatly influence the quality of audio and video recordings. In music production, a common sampling frequency is 44.1 kHz, which is sufficient to capture the entire audible range for human ears. Higher sampling frequencies, such as 96 kHz or 192 kHz, are often used in professional studios to provide even greater fidelity and detail, allowing sound engineers to manipulate audio with more precision. However, higher sampling frequencies also result in larger file sizes and increased processing requirements, which can be a consideration in both storage and playback environments.Moreover, the sampling frequency is not limited to audio signals; it plays a significant role in various fields such as telecommunications, medical imaging, and scientific research. For instance, in medical imaging technologies like MRI, a high sampling frequency is essential for capturing fine details in images, ensuring that doctors can make accurate diagnoses based on the data presented. Similarly, in telecommunications, the sampling frequency affects the clarity and reliability of data transmission, impacting everything from voice calls to streaming services.Understanding the implications of sampling frequency extends beyond technical specifications; it also involves recognizing the balance between quality and practicality. While higher sampling frequencies can enhance the accuracy of a signal, they also demand more from the hardware and software being used. This trade-off is vital for engineers and developers to consider when designing systems that rely on digital signal processing.In conclusion, the concept of sampling frequency is integral to the field of signal processing, influencing the quality and accuracy of digital representations of analog signals. Whether in audio production, medical imaging, or telecommunications, the sampling frequency plays a pivotal role in ensuring that signals are captured and reproduced with fidelity. As technology continues to advance, the importance of understanding and optimizing sampling frequency will only grow, making it an essential area of study for anyone involved in digital media and communications.

在数字信号处理领域，一个基本概念是采样频率，它指的是将连续信号转换为离散信号时的采样速率。采样频率至关重要，因为它决定了从样本中重建原始信号的准确性。如果采样频率过低，重要信息可能会丢失，从而导致一种现象，称为混叠。这种现象发生在信号的高频成分由于采样不足而被错误地表示为低频。为了避免这种情况，奈奎斯特定理指出，采样频率必须至少是信号中最高频率的两倍。例如，如果信号包含高达20 kHz的频率，则采样频率应至少为40 kHz，以确保准确表示。在实际应用中，采样频率的选择会极大影响音频和视频录制的质量。在音乐制作中，常见的采样频率是44.1 kHz，这足以捕捉人耳可听范围内的整个频谱。更高的采样频率，例如96 kHz或192 kHz，通常在专业录音室中使用，以提供更高的保真度和细节，使音响工程师能够更精确地处理音频。然而，更高的采样频率也会导致文件大小增大和处理需求增加，这在存储和播放环境中都是需要考虑的因素。此外，采样频率不仅限于音频信号；它在电信、医学成像和科学研究等多个领域中发挥着重要作用。例如，在医学成像技术如MRI中，高采样频率对于捕捉图像中的细节至关重要，确保医生能够根据呈现的数据做出准确的诊断。同样，在电信中，采样频率影响数据传输的清晰度和可靠性，影响从语音通话到流媒体服务的一切。理解采样频率的含义不仅限于技术规格；还涉及到认识到质量与实用性之间的平衡。虽然更高的采样频率可以增强信号的准确性，但它们也对所使用的硬件和软件提出了更高的要求。当设计依赖于数字信号处理的系统时，这种权衡对工程师和开发人员来说至关重要。总之，采样频率的概念是信号处理领域的核心，影响着模拟信号的数字表示的质量和准确性。无论是在音频制作、医学成像还是电信中，采样频率在确保信号的捕获和重现方面发挥着关键作用。随着技术的不断进步，理解和优化采样频率的重要性只会增加，使其成为任何参与数字媒体和通信的人必须研究的领域。