quantisation

简明释义

英[ˈkwɒntaɪˈzeɪʃən]美['kwɑntɪseɪʃən]

n. 量子化

英英释义

单词用法

同义词

反义词

例句

1.The present paper presents a new method for constructing optimal quantisation tables. The method produces optimal rate-distortion performance in a fixed block size DCT.

提出一种构造择优量化表的新方法。在一个固定块尺寸的离散余弦变换（DCT）中，该方法可产生优化的率失真特性。

2.The present paper presents a new method for constructing optimal quantisation tables. The method produces optimal rate-distortion performance in a fixed block size DCT.

提出一种构造择优量化表的新方法。在一个固定块尺寸的离散余弦变换（DCT）中，该方法可产生优化的率失真特性。

3.We can do this without conflict to any of Einstein's descriptions only if we introduce Planck's proven quantisation scheme for length minima and time minima.

我们这样做并没有违反爱因斯坦的任何描述，仅仅如果我们引入了普朗克证明的长度最小值和时间最小值的量子系统。

4.The present paper presents a new method for constructing optimal quantisation tables.

提出一种构造择优量化表的新方法。

5.Parameter is also used as part of the defined term quantisation parameter.

参数也被用作术语量化参数的一部分。

6.In digital signal processing, the process of converting an analog signal into a digital one involves quantisation 量化.

在数字信号处理中，将模拟信号转换为数字信号的过程涉及到量化。

7.The accuracy of digital images can be affected by the quantisation 量化 levels used during the conversion.

数字图像的准确性可能会受到转换过程中使用的量化级别的影响。

8.In audio engineering, quantisation 量化 noise can degrade sound quality.

在音频工程中，量化噪声可能会降低音质。

9.The quantisation 量化 process is essential for compressing data effectively.

对于有效压缩数据来说，量化过程是必不可少的。

10.Errors introduced during quantisation 量化 can lead to significant deviations in measurements.

在量化过程中引入的错误可能导致测量的显著偏差。

作文

In the realm of physics and engineering, the concept of quantisation (量子化) plays a crucial role in understanding how systems behave at the microscopic level. Quantisation refers to the process by which certain physical quantities, such as energy or angular momentum, can only take on discrete values rather than a continuous range. This fundamental principle is a cornerstone of quantum mechanics and has profound implications for various scientific fields, including chemistry, materials science, and even information technology. To illustrate the significance of quantisation (量子化), consider the example of an electron in an atom. According to classical physics, an electron could occupy any position around the nucleus and possess any energy level. However, quantum mechanics introduces the idea that electrons exist in specific energy states. These states are quantised, meaning that an electron can only occupy certain allowed energy levels. When an electron transitions between these levels, it must absorb or emit a precise amount of energy, typically in the form of a photon. This phenomenon is observable in the emission spectra of elements, where distinct lines correspond to the specific energy transitions of electrons. The implications of quantisation (量子化) extend beyond atomic structures. In solid-state physics, the behavior of electrons in materials is also governed by quantisation. For instance, in semiconductors, the energy bands are formed due to the quantisation of electronic states. Understanding these bands is essential for developing electronic devices such as transistors and diodes, which are the building blocks of modern electronics. Another area where quantisation (量子化) is vital is in the field of quantum computing. Traditional computers use bits as the smallest unit of information, which can be either 0 or 1. In contrast, quantum computers utilize qubits, which leverage the principles of quantisation to exist in multiple states simultaneously, thanks to superposition. This allows quantum computers to perform complex calculations much faster than classical computers. The advancement of quantum computing could revolutionize industries ranging from cryptography to drug discovery. Moreover, the concept of quantisation (量子化) is not limited to physical sciences. It has also made its way into the world of digital signal processing, where signals are often sampled and converted into discrete values. This process, known as quantisation, is essential for converting analog signals into digital formats that can be processed by computers. The precision of this quantisation directly affects the quality of the digital representation, making it a critical consideration in audio and image processing. In conclusion, the concept of quantisation (量子化) is a fundamental aspect of our understanding of the physical world. Its implications stretch across various scientific disciplines, influencing everything from atomic theory to the latest advancements in technology. By grasping the principles of quantisation, we gain insight into the behavior of matter and energy at the smallest scales, paving the way for innovations that can shape our future. As we continue to explore the intricacies of the quantum realm, the importance of quantisation will undoubtedly remain a focal point in both theoretical and applied sciences.

在物理和工程领域，quantisation（量子化）这一概念在理解微观系统的行为方面起着至关重要的作用。Quantisation指的是某些物理量（如能量或角动量）只能取离散值而不是连续范围的过程。这一基本原理是量子力学的基石，对包括化学、材料科学甚至信息技术在内的多个科学领域具有深远的影响。 为了说明quantisation（量子化）的重要性，考虑一个原子中电子的例子。根据经典物理学，电子可以占据原子核周围的任何位置并具备任何能量水平。然而，量子力学引入了电子存在于特定能量状态的理念。这些状态是量子化的，这意味着电子只能占据某些允许的能量水平。当电子在这些能量水平之间转换时，它必须吸收或发出精确数量的能量，通常以光子的形式。这一现象在元素的发射光谱中是可观察到的，其中不同的谱线对应于电子的特定能量跃迁。 Quantisation（量子化）的影响不仅限于原子结构。在固态物理学中，材料中电子的行为也受到quantisation的支配。例如，在半导体中，由于电子状态的量子化形成了能带。理解这些能带对于开发电子设备（如晶体管和二极管）至关重要，而这些设备是现代电子的基石。 Quantisation（量子化）在量子计算领域同样至关重要。传统计算机使用比特作为信息的最小单位，能够是0或1。相比之下，量子计算机利用量子位（qubits），利用quantisation的原理同时存在于多个状态，这归功于叠加。这使得量子计算机能够比经典计算机更快地执行复杂计算。量子计算的进步可能会彻底改变从密码学到药物发现等多个行业。 此外，quantisation（量子化）的概念并不限于物理科学。它也进入了数字信号处理的世界，信号通常被采样并转换为离散值。这个过程被称为quantisation，对于将模拟信号转换为计算机可以处理的数字格式至关重要。这一quantisation的精度直接影响数字表示的质量，使其成为音频和图像处理中的关键考虑因素。 总之，quantisation（量子化）这一概念是我们理解物理世界的基本方面。它的影响跨越多个科学学科，影响着从原子理论到最新技术进步的方方面面。通过掌握quantisation的原理，我们可以洞察物质和能量在最小尺度上的行为，为塑造我们的未来铺平道路。随着我们继续探索量子领域的复杂性，quantisation的重要性无疑将继续成为理论和应用科学的焦点。