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

Basic Discrete Time Signals01:16

Basic Discrete Time Signals

189
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is...
189
Design Example01:23

Design Example

316
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
316
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

721
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
721

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

Adaptive Jamming Mitigation for Clustered Energy-Efficient LoRa-BLE Hybrid Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2025
Same author

A Survey of MPSoC Management toward Self-Awareness.

Micromachines·2024
Same author

Decision-Making Algorithm with Geographic Mobility for Cognitive Radio.

Sensors (Basel, Switzerland)·2024
Same author

Maximal Ratio Combining Detection in OFDM Systems with Virtual Carriers Over V2V Channels.

Sensors (Basel, Switzerland)·2023
Same author

Deep Learning Multi-Class Approach for Human Fall Detection Based on Doppler Signatures.

International journal of environmental research and public health·2023
Same author

Statistical Study of User Perception of Smart Homes during Vital Signal Monitoring with an Energy-Saving Algorithm.

International journal of environmental research and public health·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章

相关实验视频

Updated: May 28, 2025

Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System
06:58

Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System

Published on: June 13, 2010

9.6K

针对MIMO通信系统的高效基于深度学习的检测方案.

Roilhi F Ibarra-Hernández1, Francisco R Castillo-Soria1, Carlos A Gutiérrez1

  • 1Faculty of Science, Autonomous University of San Luis Potosí, Av. Chapultepec 1570, Privadas del Pedregal, San Luis Potosí 78295, Mexico.

Sensors (Basel, Switzerland)
|February 13, 2025
PubMed
概括
此摘要是机器生成的。

深度学习 (DL) 为多输入多输出 (MIMO) 系统提供了高效的信号检测. 新的DL方案减少了未来无线通信的复杂性和比特错误率 (BER).

关键词:
业绩表现 BER BER 业绩表现这些系统是MIMO系统.标准 ML 标准 ML 标准深度学习是一种深度学习.检测 检测 检测 检测 检测检测复杂性的检测复杂性标签 标签 标签 标签

更多相关视频

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.2K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

455

相关实验视频

Last Updated: May 28, 2025

Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System
06:58

Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System

Published on: June 13, 2010

9.6K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.2K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

455

科学领域:

  • 无线通信无线通信
  • 信号处理 信号处理
  • 机器学习 机器学习

背景情况:

  • 多输入多输出 (MIMO) 对于下一代无线系统至关重要.
  • 在MIMO系统中,探测器的复杂性随着天线数量的增加而增加,这给大规模MIMO带来了挑战.
  • 平衡检测复杂性和比特错误率 (BER) 是非常重要的.

研究的目的:

  • 为MIMO系统开发基于深度学习 (DL) 的高效信号检测策略.
  • 引入新的DL方案,在复杂性和性能方面改进传统方法.
  • 评估检测复杂性和BER性能之间的权衡.

主要方法:

  • 一个基于DL的信号检测策略,结合了新的输入信号标记预处理阶段.
  • 建议和评估两个新的方案:每天线OH (OHA) 和直接符号编码 (DSE).
  • 拟议方案与传统的一热 (OH) 和最大概率 (ML) 方法的比较.

主要成果:

  • 在OHA和DSE计划的分类性能方面,F1得分为0.97.
  • 两种拟议方案的计算复杂性都低于传统的OH和ML方案.
  • 与OH方案相比,OHA和DSE的BER性能损失分别小于1dB和2dB.

结论:

  • 提出的基于DL的策略有效地减少了MIMO系统中的检测复杂性.
  • OHA和DSE方案在BER性能和计算成本之间提供了有利的权衡.
  • 这种方法适用于具有有限计算资源的自适应式无线系统.