sampling frequency

简明释义

取样频率

英英释义

例句

1.In medical imaging, the sampling frequency 采样频率 is crucial for accurate diagnosis.

在医学成像中，采样频率 sampling frequency 对于准确诊断至关重要。

2.In audio processing, the sampling frequency 采样频率 determines the quality of sound reproduction.

在音频处理过程中，采样频率 sampling frequency 决定了声音再现的质量。

3.A higher sampling frequency 采样频率 allows for capturing more details in a digital image.

更高的采样频率 sampling frequency 允许在数字图像中捕获更多细节。

4.For digital audio, a common sampling frequency 采样频率 is 44.1 kHz.

对于数字音频，常见的采样频率 sampling frequency 是44.1 kHz。

5.When recording video, the sampling frequency 采样频率 affects the smoothness of motion.

在录制视频时，采样频率 sampling frequency 会影响运动的流畅性。

作文

In the field of digital signal processing, the concept of sampling frequency plays a crucial role in determining the quality and accuracy of the data being analyzed. The sampling frequency refers to the number of samples taken per second from a continuous signal to convert it into a discrete signal. This conversion is essential for digital systems, as they can only process discrete data. Understanding the implications of sampling frequency is vital for engineers and researchers working with audio, video, and other forms of signal processing.To illustrate the importance of sampling frequency, consider the example of audio recording. When sound waves are captured, they are continuous signals. However, to store this audio in a digital format, these continuous signals must be sampled at specific intervals. The sampling frequency determines how many times per second the audio signal is sampled. For instance, a common sampling frequency for CD audio is 44.1 kHz, meaning that the audio is sampled 44,100 times per second. This high sampling frequency ensures that the recorded audio retains a high level of fidelity and accurately represents the original sound wave.On the other hand, if the sampling frequency is too low, important details of the signal may be lost, leading to a phenomenon known as aliasing. Aliasing occurs when higher-frequency components of the signal are misrepresented due to insufficient sampling. For example, if a signal contains frequencies above half of the sampling frequency, those frequencies can be incorrectly reconstructed, resulting in distortion and loss of information. Therefore, choosing an appropriate sampling frequency is critical to avoid such issues.Moreover, the choice of sampling frequency is not only relevant in audio processing but also in various applications such as image processing, telecommunications, and biomedical engineering. In image processing, the sampling frequency determines the resolution of the image. Higher sampling frequencies result in more detailed images, while lower frequencies can lead to pixelation and loss of clarity. Similarly, in telecommunications, the sampling frequency affects the bandwidth and quality of the transmitted signals, making it a key factor in designing efficient communication systems.In conclusion, the concept of sampling frequency is fundamental in the realm of signal processing. It not only influences the quality of digital representations of analog signals but also has far-reaching implications across various fields. Engineers and researchers must carefully consider the sampling frequency when designing systems to ensure accurate and high-quality data representation. By understanding and applying the principles of sampling frequency, we can enhance our ability to analyze, transmit, and process information effectively, leading to advancements in technology and improved user experiences.

在数字信号处理领域，采样频率的概念在决定数据分析的质量和准确性方面起着至关重要的作用。采样频率是指从连续信号中每秒提取的样本数量，以将其转换为离散信号。这种转换对数字系统至关重要，因为它们只能处理离散数据。理解采样频率的含义对于从事音频、视频和其他形式信号处理的工程师和研究人员来说至关重要。为了说明采样频率的重要性，我们可以考虑音频录制的例子。当声音波被捕获时，它们是连续信号。然而，为了以数字格式存储这些音频，这些连续信号必须在特定的时间间隔内进行采样。采样频率决定了音频信号每秒被采样多少次。例如，CD音频的常见采样频率是44.1 kHz，这意味着音频每秒被采样44,100次。这种高采样频率确保录制的音频保持高保真度，并准确表示原始声波。另一方面，如果采样频率太低，信号的重要细节可能会丢失，从而导致称为混叠的现象。混叠发生在信号的高频成分由于采样不足而被错误表示。例如，如果信号包含超过一半采样频率的频率，那么这些频率可能会被错误重建，导致失真和信息丢失。因此，选择适当的采样频率对于避免此类问题至关重要。此外，采样频率的选择不仅与音频处理相关，还与图像处理、电信和生物医学工程等各种应用有关。在图像处理中，采样频率决定了图像的分辨率。更高的采样频率会导致更详细的图像，而较低的频率则可能导致像素化和清晰度丧失。同样，在电信中，采样频率影响传输信号的带宽和质量，使其成为设计高效通信系统的关键因素。总之，采样频率的概念在信号处理领域是基础性的。它不仅影响模拟信号的数字表示的质量，还有广泛的影响力，涉及多个领域。工程师和研究人员在设计系统时必须仔细考虑采样频率，以确保准确和高质量的数据表示。通过理解和应用采样频率的原则，我们可以增强分析、传输和处理信息的能力，从而推动技术进步和改善用户体验。