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

Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

252
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
252
Upsampling01:22

Upsampling

238
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...
238
Rectangular and Triangular Pulse Function01:19

Rectangular and Triangular Pulse Function

697
The unit rectangular pulse function is mathematically represented by a rectangular function centered at the origin with a height of one unit. This function is defined by two parameters: T, which specifies the center location of the pulse along the time axis, and τ, which determines the pulse duration.
For example, consider a rectangular pulse with a 5V amplitude, a 3-second duration, and centered at t=2 seconds. This pulse can be expressed using the rectangular function, written as,
697
Downsampling01:20

Downsampling

158
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...
158
Sampling Theorem01:15

Sampling Theorem

341
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
341
Routh-Hurwitz Criterion I01:15

Routh-Hurwitz Criterion I

246
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
246

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

High power single-longitudinal-mode CO<sub>2</sub> laser with a frequency-tunable range of 0.29 GHz.

Optics letters·2026
Same author

NeuroDepth: an ultra long whole brain reachable multi-channel probe for real-time precise functional localization of deep human brain tumor margins.

Microsystems & nanoengineering·2025
Same author

Speckle visual cryptography for credential authentication.

Applied optics·2024
Same author

High-peak-power long-wave infrared BaGa<sub>4</sub>Se<sub>7</sub> optical parametric oscillator with 6.7-13.9 µm widely tunable range.

Optics letters·2024
Same author

Optical information hiding for different surface images.

Applied optics·2024
Same author

Highly efficient and aberration-free off-plane grating spectrometer and monochromator for EUV-soft X-ray applications.

Light, science & applications·2024

相关实验视频

Updated: Jul 5, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.5K

基于未固定的边界值的自适应性全球二次方程量子化算法.

Xuefu Sui1, Qunbo Lv1,2, Changjun Ke1

  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China.

Sensors (Basel, Switzerland)
|January 11, 2024
PubMed
概括

本研究介绍了用于高效边缘计算的自适应性全球二元三元定量化 (APTQ) 和APQ算法. 这些方法可以减少嵌入式硬件量子化卷积神经网络 (CNN) 的精度损失.

关键词:
卷积神经网络是一种卷积神经网络.低精度损失的低精度损失.两个的权力.三元量子化三元化量化没有固定的边界值.

更多相关视频

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.1K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.7K

相关实验视频

Last Updated: Jul 5, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

Published on: September 5, 2019

8.5K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.1K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.7K

科学领域:

  • 边缘计算是一种边缘计算.
  • 深度学习优化优化
  • 硬件加速器的硬件加速器

背景情况:

  • 将卷积神经网络 (CNN) 量化为极低比特宽度对于降低边缘设备的存储和计算需求至关重要.
  • 然而,积极的量子化往往会导致检测准确度大幅下降,原因是代表性能力有限和量子化界限不一致.
  • 现有的方法在平衡效率增长与准确性维护方面扎.

研究的目的:

  • 提出新的量子化算法,以尽量减少边缘计算的低位CNN的准确性损失.
  • 开发硬件友好的量子化技术,以提高嵌入式系统的计算效率.
  • 引入适应量化方法,以适应不同的重量分布和比特宽度.

主要方法:

  • 适应性全球二元功率三元量化 (APTQ) 将过器量化为二元功率二元子过器,其值没有固定.
  • 在APQ算法扩展APTQ任意定量化比特宽度.
  • 专门的边缘部署卷积计算模块是为量子化模型设计的.

主要成果:

  • 与CIFAR10,CIFAR100和Mini-ImageNet数据集上的最先进的量子化算法相比,APTQ和APQ的准确性表现优异.
  • 在CIFAR10.0上实现了最小的精度损失,例如,APTQ三元ResNet-56的0.13%在CIFAR10.0上.
  • 设计的模块显著减少了芯片上的硬件资源使用量,以提高计算效率.

结论:

  • 拟议的APTQ和APQ算法有效地平衡了边缘计算的量子化准确性和部署效率.
  • 两位数定量化和自适应值解决了低位CNN定量化中的关键挑战.
  • 这些方法为优化工业边缘人工智能应用中的CNN提供了宝贵的见解.