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

Upsampling01:22

Upsampling

242
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...
242
Downsampling01:20

Downsampling

167
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...
167
Sampling Theorem01:15

Sampling Theorem

353
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.
353
Aliasing01:18

Aliasing

144
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
144
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

267
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
267
Properties of Fourier Transform I01:21

Properties of Fourier Transform I

182
The application of Fourier Transform properties in radio broadcasting is multifaceted, enabling significant advancements in the way signals are transmitted and received. Key areas where these properties are utilized include simultaneous multi-channel transmission, audio clip speed adjustments, live broadcast delays for different time zones, audio frequency adjustments, and signal demodulation.
In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier...
182

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

Sliding mode control gain optimization for a robot arm manipulator using an improved stochastic framework.

Scientific reports·2026
Same author

Performance investigation of 160 Gb/s inter-satellite laser communication transmission system based on OFDM and PDM transmission with advanced signal processing techniques.

Scientific reports·2026
Same author

Enhancing prediction accuracy for Parkinson's disease using advanced machine learning models.

Scientific reports·2026
Same author

Dynamic driver drowsiness detection with attention enhanced convolutional neural networks for real time monitoring and road safety applications.

Scientific reports·2026
Same author

Performance enhancement of THz antenna with dielectric resonator and prediction bandwidth using machine learning approach for 6G applications.

Scientific reports·2026
Same author

Development and validation of a sensor-integrated smart driving test system for automated, scalable, and objective driver performance evaluation.

Scientific reports·2026
Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jul 12, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

3.0K

一个高效的水印算法用于安全应用中的数字音频数据.

Mohamed Yamni1, Achraf Daoui2, Hicham Karmouni2

  • 1CED-ST, STIC, Laboratory of Electronic Signals and Systems of Information LESSI, Faculty of Science Dhar El Mahrez, University Sidi Mohamed Ben Abdellah, Fez, Morocco.

Scientific reports
|October 27, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用Raspberry Pi集群上的并行处理来实现更快的音频水标系统. 这种新的方法显著提高了实时应用程序的速度,提高了智能城市的安全性.

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

9.3K
Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

11.7K

相关实验视频

Last Updated: Jul 12, 2025

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging
04:54

Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

3.0K
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

9.3K
Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

11.7K

科学领域:

  • 数字信号处理 数字信号处理
  • 嵌入式系统 嵌入式系统
  • 信息安全 信息安全

背景情况:

  • 转换域音频水印提供了稳定性,但受到高计算成本的影响,限制了实时应用.
  • 现有的方法通常对时间关键的安全需求来说太慢了,尤其是长时间的音频信号.

研究的目的:

  • 为实时安全应用开发一个计算效率高,速度快的音频水印系统.
  • 在嵌入式系统上利用并行处理来克服转换域水标的速度限制.

主要方法:

  • 采用使用分数查理尔变换 (FrCT) 和双树复杂波量变换 (DTCWT) 的混合变换域.
  • 密集的水标步骤并行并通过使用消息传递接口 (MPI) 在四个Raspberry Pi 4B设备的集群上实施.

主要成果:

  • 并行系统实现了显著的时间改进:大约70%使用4个核心,80%使用8个核心,90%使用16个核心.
  • 该系统展示了对操纵的稳定性,高有效载荷能力和高无感知度.

结论:

  • 拟议的并行音频水印系统有效地解决了计算成本的挑战.
  • 便携式和低功耗的Raspberry Pi集群可以为智能城市应用程序提供高效的实时水印.