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相关概念视频

Downsampling01:20

Downsampling

140
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
140
Upsampling01:22

Upsampling

216
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
216
Source Transformation01:15

Source Transformation

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Source transformation is a fundamental technique employed in circuit analysis, offering a valuable tool for simplifying complex electrical circuits. This technique involves the replacement of either a voltage source in series with a resistor by a current source in parallel with a resistor, or vice versa. The key concept here is that when the original sources are deactivated (turned off), the equivalent resistance at the circuit's end terminals remains the same.
It is essential to note that when...
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Transformers01:26

Transformers

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A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
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Source Transformation for AC Circuits01:11

Source Transformation for AC Circuits

555
The process of source transformation in the frequency domain entails the conversion of a voltage source, positioned in series with an impedance, into a current source that is parallel to an impedance, or the other way around. It is essential to maintain the following relationships while transitioning from one source type to another.
555
Properties of the z-Transform I01:17

Properties of the z-Transform I

173
The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...
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相关实验视频

Updated: Jun 14, 2025

Visualizing Visual Adaptation
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语法引导的内容适应性转换用于图像压缩.

Yunhui Shi1, Liping Ye1, Jin Wang1

  • 1Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.

Sensors (Basel, Switzerland)
|August 29, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的语法引导图像压缩框架. 它通过更好地捕获图像属性和减少冗余来提高编码效率.

关键词:
适应式压缩适应式压缩深度学习是一种深度学习.图像压缩 图像压缩

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科学领域:

  • 计算机视觉 计算机视觉
  • 图像处理 图像处理
  • 数据压缩数据压缩

背景情况:

  • 越来越多的图像数据量使存储和传输变得更加困难.
  • 当前学习的图像压缩方法未能充分利用像素相关性.
  • 速率扭曲优化限制了紧的属性表示.

研究的目的:

  • 为高效的图像压缩提出一个语法引导的内容适应性转换框架.
  • 为了改善图像属性的捕获,并提高编码性能.
  • 为了解决现有的学习图像压缩技术的局限性.

主要方法:

  • 开发了一个语法精细的侧信息模块来指导自适应转换.
  • 嵌入全球-本地和本地-全球模块以利用像素相关性.
  • 在编解码器内设计的上采样/下采样模块,以消除冗余.

主要成果:

  • 拟议的模型适应不同的图像复杂性,提高压缩效率.
  • 在三个基准数据集中表现出卓越的性能.
  • 成功捕获全球和本地相关性以进行增强编码.

结论:

  • 语法引导的内容适应性转换框架提供了增强的图像压缩效率.
  • 该方法有效地利用语法和侧面信息进行适应性转换.
  • 这种方法克服了现有方法在表示图像属性的局限性.