aliasing criteria

简明释义

假频准则;

英英释义

例句

1.When designing a camera sensor, engineers must consider the aliasing criteria 混叠准则 to avoid moiré patterns.

在设计相机传感器时，工程师必须考虑aliasing criteria 混叠准则 以避免摩尔纹。

2.The aliasing criteria 混叠准则 must be applied when sampling a continuous signal to ensure accurate reconstruction.

在对连续信号进行采样时，必须应用aliasing criteria 混叠准则 以确保准确重建。

3.In digital signal processing, understanding the aliasing criteria 混叠准则 is essential to prevent distortion in audio signals.

在数字信号处理中，理解aliasing criteria 混叠准则 对于防止音频信号失真至关重要。

4.In video games, the aliasing criteria 混叠准则 helps developers create smoother graphics by reducing jagged edges.

在视频游戏中，aliasing criteria 混叠准则 帮助开发者通过减少锯齿状边缘来创建更平滑的图形。

5.The aliasing criteria 混叠准则 dictates the minimum sampling rate needed to accurately capture high-frequency signals.

aliasing criteria 混叠准则 决定了准确捕捉高频信号所需的最低采样率。

作文

In the field of digital signal processing, the concept of aliasing criteria plays a crucial role in ensuring the accurate representation of signals. Aliasing occurs when a signal is sampled at a rate that is insufficient to capture its variations accurately. This phenomenon can lead to distortions and inaccuracies in the reconstructed signal. To prevent aliasing, it is essential to adhere to the aliasing criteria, which dictate the minimum sampling rate required for a given signal. According to the Nyquist theorem, the sampling frequency must be at least twice the highest frequency present in the signal. This principle forms the foundation of the aliasing criteria and serves as a guideline for engineers and technicians working with digital audio and video systems.Understanding the aliasing criteria is vital for various applications, including music production, telecommunications, and image processing. For instance, in music production, if a sound wave with a frequency of 20 kHz is sampled at a rate lower than 40 kHz, the resulting audio may exhibit unwanted artifacts or distortions. These effects can significantly degrade the quality of the sound, making it essential for producers to follow the aliasing criteria to ensure high-fidelity recordings.Moreover, in telecommunications, the aliasing criteria are critical for maintaining the integrity of transmitted signals. When data is sent over a network, it is often sampled and quantized. If the sampling rate does not meet the aliasing criteria, the received signal may not accurately represent the original message, leading to communication errors and loss of information. Therefore, engineers must carefully consider these criteria when designing communication systems to avoid potential pitfalls.In image processing, the aliasing criteria are equally important. Digital images are composed of pixels, and each pixel represents a sample of the original scene. If an image is captured at a resolution that does not satisfy the aliasing criteria, it may result in visual artifacts such as moiré patterns or jagged edges. These issues can detract from the overall quality of the image, making it crucial for photographers and graphic designers to understand and apply the aliasing criteria in their work.In summary, the aliasing criteria are fundamental principles in digital signal processing that help prevent distortion and inaccuracies in sampled signals. By adhering to these criteria, professionals in various fields can ensure the fidelity and quality of their work. Whether in music production, telecommunications, or image processing, understanding the implications of the aliasing criteria is essential for achieving optimal results. As technology continues to advance, the importance of these criteria will only grow, making it imperative for individuals in these industries to remain informed and vigilant about the potential consequences of ignoring them.

在数字信号处理领域，混叠准则的概念在确保信号的准确表示方面起着至关重要的作用。当信号以不足以准确捕捉其变化的速率进行采样时，就会发生混叠现象。这种现象可能导致重建信号中的失真和不准确。为了防止混叠，遵循混叠准则是至关重要的，这些准则规定了给定信号所需的最小采样率。根据奈奎斯特定理，采样频率必须至少是信号中存在的最高频率的两倍。这个原则构成了混叠准则的基础，并为从事数字音频和视频系统工作的工程师和技术人员提供了指导。理解混叠准则对于各种应用至关重要，包括音乐制作、通信和图像处理。例如，在音乐制作中，如果以低于40 kHz的速率对频率为20 kHz的声波进行采样，则生成的音频可能会出现不必要的伪影或失真。这些效果可能显著降低声音的质量，因此制作人必须遵循混叠准则以确保高保真录音。此外，在通信领域，混叠准则对于保持传输信号的完整性至关重要。当数据通过网络发送时，通常会进行采样和量化。如果采样率未能满足混叠准则，则接收的信号可能无法准确表示原始消息，从而导致通信错误和信息丢失。因此，工程师在设计通信系统时必须仔细考虑这些准则，以避免潜在的陷阱。在图像处理中，混叠准则同样重要。数字图像由像素组成，每个像素代表原始场景的一个样本。如果以不满足混叠准则的分辨率捕获图像，可能会导致视觉伪影，如摩尔纹或锯齿边缘。这些问题可能会削弱图像的整体质量，因此摄影师和图形设计师必须理解并在工作中应用混叠准则。总之，混叠准则是数字信号处理中的基本原则，有助于防止采样信号中的失真和不准确。通过遵循这些准则，各个领域的专业人士可以确保他们工作的保真度和质量。无论是在音乐制作、通信还是图像处理中，理解混叠准则的影响对于实现最佳结果至关重要。随着技术的不断进步，这些准则的重要性将只会增加，因此，处于这些行业的人士必须保持知情，并对忽视它们可能带来的后果保持警惕。