Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Discrete-time Fourier transform01:26

Discrete-time Fourier transform

281
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
281
Discrete Fourier Transform01:15

Discrete Fourier Transform

229
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
229
Fast Fourier Transform01:10

Fast Fourier Transform

287
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
287
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

236
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
236
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

450
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
450
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

238
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
238

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A Comparison of Varying Golden Proportion on Smile Aesthetic Perception Between Patients, Orthodontists and Restorative Dentists.

International journal of dentistry·2026
Same author

Engineering Dynamic Hydrophobic Domains in Bioreinforced Ionic Hydrogels for Robust and Transparent Soft Electronics.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Reply.

Journal of vascular surgery·2026
Same author

A Decade of Innovation in Hydrazine Detection Methods.

Critical reviews in analytical chemistry·2026
Same author

Medicinal chemistry meets nanotechnology: machine learning assisted colorimetric sensing platform for oxalic acid based on drug mediated copper oxide nanoparticles.

RSC advances·2026
Same author

Vaginal injury resulting from blunt trauma: still an under evaluated entity.

The American journal of emergency medicine·2025
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jun 15, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

15.6K

使用图形处理单元实现高效的运动估计和离散的等号变换.

Shahrukh Agha1, Farmanullah Jan2, Haroon Ahmed Khan1

  • 1Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan.

PloS one
|August 28, 2024
PubMed
概括
此摘要是机器生成的。

图形处理单元 (GPU) 在HEVC视频编码中加速了计算密集的运动估计 (ME) 和2D离散等边变换 (2D-DCT). 这种GPU加速可实现高分辨率视频处理的实时性能.

更多相关视频

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.4K
A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

14.9K

相关实验视频

Last Updated: Jun 15, 2025

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

15.6K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.4K
A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

14.9K

科学领域:

  • 计算机工程 计算机工程
  • 视频压缩技术视频压缩技术
  • 并行计算是一种平行计算.

背景情况:

  • 高效视频编码 (HEVC) 标准涉及计算要求很高的运动估计 (ME) 和2D离散等边变换 (2D-DCT) 过程.
  • 由于ME和2D-DCT的计算复杂性,HEVC的实时性能可能受到阻碍.

研究的目的:

  • 在HEVC中使用图形处理单元 (GPU) 加快ME和2D-DCT任务.
  • 分析GPU加速对实时应用的整体HEVC编码时间的影响.

主要方法:

  • 探索四个平行水平 (框架,宏观块,搜索区域,SAD) 的ME.
  • 实现多线程洛夫勒DCT算法用于2D-DCT计算.
  • 对HEVC ME算法的比较分析,包括全搜索 (FS),测试区搜索 (TZS) 和高效层次钻石搜索 (EHDS).

主要成果:

  • 在0.15秒内,GPU加速实现了ME处理25个高分辨率 (3840x2160) 的ME处理.
  • 2D-DCT,图像重建和25的差异化在0.1秒内完成.
  • 结合ME和2D-DCT任务在0.25秒内处理,为其他编码器组件留下了充足的时间.

结论:

  • 在HEVC编码中,GPU部署显著提高了ME和2D-DCT的速度.
  • 加速HEVC编码器适用于实时应用,因为处理时间缩短.
  • 在基于GPU的视频处理加速中,不同级别的并行策略是有效的.