residual signal

简明释义

残留信号

英英释义

例句

1.After applying the noise reduction algorithm, the residual signal was significantly reduced.

在应用噪声减少算法后，残余信号显著减少。

2.To improve accuracy, we need to account for any residual signal that might skew our findings.

为了提高准确性，我们需要考虑任何可能扭曲我们发现的残余信号。

3.The engineers worked to filter out the residual signal from the data collected during the experiment.

工程师们努力从实验中收集的数据中过滤掉残余信号。

4.In the analysis of the audio recording, we noticed a strong residual signal that interfered with the main track.

在音频录音的分析中，我们注意到一个强烈的残余信号干扰了主轨道。

5.The residual signal in the imaging process can lead to misinterpretation of the results.

成像过程中的残余信号可能导致结果的误解。

作文

In the realm of signal processing, understanding the concept of residual signal is crucial for both researchers and practitioners. A residual signal refers to the part of a signal that remains after the desired components have been extracted or filtered out. This concept is particularly important in various applications such as audio engineering, telecommunications, and even in medical imaging. For instance, when processing audio recordings, engineers often aim to isolate the primary sound source while minimizing background noise. The remaining noise, which is not part of the intended signal, becomes the residual signal. By studying this component, engineers can develop better noise reduction algorithms, enhancing the clarity of the audio output.Furthermore, in telecommunications, the residual signal can significantly impact the quality of data transmission. When signals are transmitted over long distances, various forms of interference can distort the original message. The residual signal in this context represents the unwanted artifacts that remain after the primary signal has been processed. Understanding these artifacts allows engineers to improve modulation techniques and error correction protocols, ultimately leading to more reliable communication systems.In medical imaging, particularly in techniques like MRI (Magnetic Resonance Imaging), the concept of residual signal plays a vital role. After an image is captured, certain signals may remain due to imperfections in the imaging process or the presence of artifacts. Analyzing the residual signal helps radiologists identify potential issues in the images, ensuring accurate diagnoses and better patient outcomes. By effectively managing these residuals, healthcare professionals can enhance the quality of medical imaging and provide more precise information to guide treatment decisions.Moreover, the study of residual signals extends beyond technical applications; it also finds relevance in fields such as finance and economics. For example, in time series analysis, the residual signal represents the deviation of observed data from a predicted model. By analyzing these residuals, analysts can gain insights into market trends and anomalies, allowing for more informed investment strategies.In conclusion, the residual signal is a multifaceted concept that permeates various disciplines. Its significance cannot be overstated, as it aids in refining processes, enhancing communication, improving medical diagnostics, and informing economic strategies. As technology continues to advance, understanding and effectively managing residual signals will remain a critical focus for professionals across multiple fields. By deepening our comprehension of this concept, we pave the way for innovations that can lead to improved outcomes in numerous applications, ultimately benefiting society as a whole.

在信号处理领域，理解残余信号的概念对于研究人员和从业者来说至关重要。残余信号指的是在提取或过滤掉所需成分后，信号中剩余的部分。这个概念在音频工程、电信甚至医学成像等各种应用中都特别重要。例如，在处理音频录音时，工程师通常旨在隔离主要声源，同时最小化背景噪声。剩余的噪声，即不属于预期信号的部分，成为残余信号。通过研究这一成分，工程师可以开发出更好的噪声减少算法，从而提高音频输出的清晰度。此外，在电信中，残余信号可能显著影响数据传输的质量。当信号经过长距离传输时，各种干扰形式可能会扭曲原始信息。在这种情况下，残余信号代表了在主要信号处理后仍然存在的多余伪影。理解这些伪影使工程师能够改善调制技术和错误校正协议，从而最终导致更可靠的通信系统。在医学成像中，特别是在MRI（磁共振成像）等技术中，残余信号的概念起着至关重要的作用。在捕获图像后，由于成像过程中的缺陷或伪影的存在，某些信号可能会保留。分析残余信号可以帮助放射科医生识别图像中的潜在问题，确保准确的诊断和更好的患者结果。通过有效管理这些残余信号，医疗专业人员可以提高医学成像的质量，并提供更精确的信息以指导治疗决策。此外，残余信号的研究超越了技术应用；在金融和经济等领域也有相关性。例如，在时间序列分析中，残余信号表示观察数据与预测模型之间的偏差。通过分析这些残余，分析师可以获得市场趋势和异常现象的见解，从而制定更明智的投资策略。总之，残余信号是一个多方面的概念，渗透到多个学科中。它的重要性不容低估，因为它有助于精炼流程、增强通信、改善医学诊断以及告知经济策略。随着技术的不断进步，理解和有效管理残余信号将始终是多个领域专业人士的关键关注点。通过加深我们对这一概念的理解，我们为创新铺平了道路，这些创新可以在众多应用中带来改善的结果，最终造福整个社会。