image rejection

简明释义

图像载波抑制镜像干扰抑制

英英释义

例句

1.The new radio receiver features advanced image rejection technology to minimize interference.

这款新型收音机配备了先进的图像抑制技术，以减少干扰。

2.In radar systems, effective image rejection helps in distinguishing between actual targets and noise.

在雷达系统中，有效的图像抑制有助于区分实际目标和噪声。

3.The engineer explained how image rejection improves the clarity of the received signals.

工程师解释了图像抑制如何提高接收信号的清晰度。

4.To enhance performance, the device was designed with a high level of image rejection capability.

为了提高性能，该设备设计了高水平的图像抑制能力。

5.When tuning the radio, the image rejection feature helped eliminate unwanted frequencies.

在调谐收音机时，图像抑制功能帮助消除了不必要的频率。

作文

In the world of telecommunications and signal processing, the concept of image rejection plays a crucial role in enhancing the quality of received signals. Image rejection refers to the ability of a receiver to eliminate unwanted signals that can interfere with the desired signal. This is particularly important in radio frequency (RF) systems where multiple signals may be present simultaneously. Without effective image rejection, a receiver may pick up spurious signals, leading to poor performance and degraded communication quality.To understand image rejection, we must first consider how RF receivers operate. When a signal is transmitted, it often contains various frequency components. The desired signal is typically at a specific frequency, but due to the nature of RF transmission, there are also other frequencies present that can overlap with the desired signal. These overlapping signals are known as image frequencies. If the receiver cannot adequately reject these image frequencies, they can mix with the desired signal, resulting in interference and distortion.The importance of image rejection becomes evident in applications such as mobile communications, satellite communications, and broadcasting. For instance, in mobile phones, where multiple channels are used for voice and data transmission, the ability to reject image frequencies ensures clear and uninterrupted communication. Similarly, in satellite communications, where signals travel vast distances, effective image rejection is essential to maintain the integrity of the received data.There are various techniques employed to achieve image rejection. One common method is the use of filters that are designed to allow only the desired frequency to pass while blocking others. These filters can be passive or active, depending on their design and application. Another technique involves using balanced mixers, which help to cancel out unwanted frequencies through a process of phase cancellation. By implementing these techniques, engineers can significantly improve the image rejection capabilities of a receiver.Moreover, advancements in technology have led to the development of more sophisticated algorithms and digital signal processing techniques that enhance image rejection. These methods utilize complex mathematical models to analyze incoming signals and effectively filter out undesired components. This is particularly useful in modern communication systems that rely heavily on digital processing.In conclusion, image rejection is a fundamental concept in the field of signal processing that ensures the clarity and reliability of communication systems. As technology continues to evolve, the methods used to achieve image rejection will also advance, enabling even greater performance in various applications. Understanding and mastering the principles of image rejection is essential for anyone involved in telecommunications and related fields, as it directly impacts the effectiveness of signal transmission and reception.

在电信和信号处理的世界中，图像抑制的概念在提高接收信号质量方面发挥着至关重要的作用。图像抑制是指接收器消除可能干扰所需信号的多余信号的能力。这在无线电频率（RF）系统中特别重要，因为多个信号可能同时存在。如果没有有效的图像抑制，接收器可能会接收到虚假的信号，从而导致性能下降和通信质量降低。要理解图像抑制，我们首先必须考虑RF接收器的工作原理。当信号被传输时，它通常包含各种频率成分。所需信号通常位于特定频率，但由于RF传输的性质，还存在其他频率，这些频率可能与所需信号重叠。这些重叠信号被称为图像频率。如果接收器无法充分抑制这些图像频率，它们可能会与所需信号混合，导致干扰和失真。图像抑制的重要性在移动通信、卫星通信和广播等应用中变得显而易见。例如，在移动电话中，多个通道用于语音和数据传输，拒绝图像频率的能力确保了清晰和不间断的通信。同样，在卫星通信中，信号经过广阔的距离，有效的图像抑制对保持接收数据的完整性至关重要。实现图像抑制的方法有多种。一种常见的方法是使用设计用于仅允许所需频率通过的滤波器，同时阻止其他频率。这些滤波器可以是无源或有源，具体取决于它们的设计和应用。另一种技术涉及使用平衡混频器，通过相位取消的过程帮助抵消不必要的频率。通过实施这些技术，工程师可以显著改善接收器的图像抑制能力。此外，技术的进步导致了更复杂的算法和数字信号处理技术的发展，这些技术增强了图像抑制。这些方法利用复杂的数学模型来分析输入信号，并有效过滤掉不必要的成分。这在现代通信系统中尤其有用，这些系统在很大程度上依赖于数字处理。总之，图像抑制是信号处理领域的一个基本概念，它确保了通信系统的清晰度和可靠性。随着技术的不断发展，实现图像抑制的方法也将不断进步，从而在各种应用中实现更大的性能。理解和掌握图像抑制的原理对于任何参与电信和相关领域的人来说都是至关重要的，因为它直接影响信号传输和接收的有效性。