quantizer

简明释义

[ˈkwɒntaɪzə(r)][ˈkwɑːntaɪzər]

n. [通信] 量化器;数字转换器

英英释义

A quantizer is a device or algorithm that converts a continuous range of values into a finite range of discrete values, often used in digital signal processing.

量化器是将连续值范围转换为有限离散值范围的设备或算法,通常用于数字信号处理。

单词用法

uniform quantizer

均匀量化器

non-uniform quantizer

非均匀量化器

adaptive quantizer

自适应量化器

quantizer design

量化器设计

quantization error

量化误差

quantization process

量化过程

同义词

discretizer

离散化器

A discretizer converts continuous signals into discrete ones.

离散化器将连续信号转换为离散信号。

encoder

编码器

An encoder is used to prepare data for digital transmission.

编码器用于准备数据以进行数字传输。

反义词

dequantizer

反量化器

The dequantizer reconstructs the original signal from quantized data.

反量化器从量化数据中重建原始信号。

continuous signal

连续信号

A continuous signal is necessary for analog processing.

连续信号对于模拟处理是必要的。

例句

1.First, the paper introduces the fundamental structure and function of fiberoptic receiving system and fiber optic data quantizer.

文章首先介绍了光接收系统和光纤数据量化器的基本结构、功能。

2.The architecture and design methods of - modulators are studied . based on it , the bits of quantizer , oversampling - ratio and the orders of modulator have been designed.

对调制器的结构和设计技术进行了研究,根据系统要求设计了量化器位数,调制器过采样比和阶数。

3.If this value is 100, it takes the average quantizer computed from the last 100 frames, and then assumes that average quantizer for the next frame.

如果这个值设为100,那么他将平均前100个量化器的值为下帧估算出的量化器参数。

4.The Counterpropagation Network (CPN) can be applied to image compression as a vector quantizer. However, the CPN learning algorithm has two obvious disadvantages in codebook designing.

对向传播神经网络(CPN)可以作为矢量量化器用于图像压缩,但CPN学习算法在进行码书设计时存在两个明显的缺陷。

5.This is inefficient and cumbersome; even the relatively suboptimal MPEG-style delta quantizer system would be a better option.

这是低效的和累赘的,甚至相对次优的mpeg风格的三角量化器都会是一个更好的选择。

6.Computer simulations show that the training speed of codebook is quickened by the new design algorithm and the complexity of vector quantizer is reduced.

计算机模拟结果表明,新算法明显缩减了码本训练时间、提高了矢量量化的速度。

7.Finally, a series of inequalities is derived, which gives a quantitative relation between the performance of a vector quantizer and rate-distortion function.

最后,导出了反映矢量量化器工作特性和率失真函数之间的数量关系的不等式串。

8.The audio signal was processed by a quantizer to reduce its bit depth.

音频信号经过一个量化器处理,以减少其位深。

9.In digital communication, a quantizer is crucial for converting analog signals into digital form.

在数字通信中,量化器对于将模拟信号转换为数字形式至关重要。

10.The performance of the quantizer affects the overall quality of the video compression.

量化器的性能影响视频压缩的整体质量。

11.A high-resolution quantizer can significantly improve image clarity.

高分辨率的量化器可以显著提高图像清晰度。

12.We implemented a new quantizer algorithm to enhance the audio fidelity.

我们实施了一种新的量化器算法,以增强音频保真度。

作文

In the realm of digital signal processing, one of the fundamental components that plays a crucial role is the quantizer. A quantizer is a device or algorithm that converts a continuous range of values into a finite range of discrete values. This process is essential in various applications, including audio and video compression, telecommunications, and data storage. Understanding the function and significance of a quantizer can greatly enhance our comprehension of how digital systems operate.To illustrate the importance of a quantizer, let's consider the example of audio recording. When sound waves are captured, they exist as continuous signals with an infinite number of possible amplitude values. However, to store this information digitally, we need to convert these continuous signals into a format that computers can understand. This is where the quantizer comes into play. It samples the continuous audio signal at regular intervals and assigns each sample a specific value based on predefined levels. This process is known as quantization.The quality of the quantization process is heavily influenced by the number of discrete levels used by the quantizer. If the quantizer uses too few levels, it may lead to a loss of detail and fidelity in the audio signal, resulting in distortion or noise. Conversely, using too many levels can increase the file size and processing requirements, which may not be practical for certain applications. Therefore, finding the right balance is crucial for achieving optimal performance.In addition to audio applications, quantizers are also vital in image processing. When capturing images, cameras produce a continuous range of colors and brightness levels. To store these images digitally, a quantizer is employed to map the continuous color spectrum to a limited set of colors that can be represented in a digital format. This quantization process allows for efficient storage and transmission of images while maintaining acceptable visual quality.Moreover, in the field of telecommunications, quantizers play a critical role in modulating signals for transmission over various media. For instance, when sending data over a wireless network, the continuous signal must be quantized to ensure that it can be accurately transmitted and decoded by the receiving device. The effectiveness of this process directly impacts the reliability and speed of communication.In conclusion, the quantizer is an indispensable component in the conversion of continuous signals into a digital format. Its ability to transform an infinite range of values into a manageable set of discrete levels enables the efficient storage, processing, and transmission of data across various fields. As technology continues to evolve, the role of the quantizer will remain pivotal in ensuring that we can effectively harness the power of digital systems. Understanding how quantizers function and their implications in different applications will undoubtedly enhance our appreciation of the digital world around us. Therefore, whether in audio processing, image storage, or telecommunications, the quantizer stands as a testament to the ingenuity of modern technology, bridging the gap between the analog and digital realms.

在数字信号处理领域,一个发挥关键作用的基本组件是量化器量化器是将连续值范围转换为有限离散值范围的设备或算法。这一过程在音频和视频压缩、电信和数据存储等各种应用中至关重要。理解量化器的功能和重要性可以大大增强我们对数字系统如何运作的理解。为了说明量化器的重要性,让我们考虑音频录制的例子。当声波被捕获时,它们以连续信号的形式存在,具有无限数量的可能幅度值。然而,为了以数字方式存储这些信息,我们需要将这些连续信号转换为计算机可以理解的格式。这就是量化器发挥作用的地方。它在规则的时间间隔内对连续音频信号进行采样,并根据预定义的级别为每个样本分配一个特定的值。这个过程称为量化。量化过程的质量受到量化器使用的离散级别数量的严重影响。如果量化器使用的级别太少,可能会导致音频信号细节和保真度的丧失,导致失真或噪声。相反,使用太多级别会增加文件大小和处理要求,这在某些应用中可能不切实际。因此,找到合适的平衡对于实现最佳性能至关重要。除了音频应用,量化器在图像处理中的作用也至关重要。当捕获图像时,相机产生连续范围的颜色和亮度级别。为了以数字方式存储这些图像,使用量化器将连续色谱映射到可以在数字格式中表示的有限颜色集。这个量化过程允许高效存储和传输图像,同时保持可接受的视觉质量。此外,在电信领域,量化器在调制信号以便通过各种媒体传输方面发挥着关键作用。例如,当通过无线网络发送数据时,必须对连续信号进行量化,以确保其可以被接收设备准确传输和解码。这一过程的有效性直接影响通信的可靠性和速度。总之,量化器是在将连续信号转换为数字格式中不可或缺的组成部分。它将无限值范围转变为可管理的离散级别集的能力,使得数据在各个领域的高效存储、处理和传输成为可能。随着技术的不断发展,量化器的作用将在确保我们能够有效利用数字系统方面继续发挥关键作用。理解量化器的功能及其在不同应用中的影响无疑会增强我们对周围数字世界的欣赏。因此,无论是在音频处理、图像存储还是电信中,量化器都证明了现代技术的聪明才智,架起了模拟与数字领域之间的桥梁。