Jove
Visualize
联系我们

相关概念视频

Basic Discrete Time Signals01:16

Basic Discrete Time Signals

190
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...
190
Network Function of a Circuit01:25

Network Function of a Circuit

255
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
255
Linear time-invariant Systems01:23

Linear time-invariant Systems

209
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
209
Even and Odd Signals01:17

Even and Odd Signals

713
An even signal, whether in continuous-time or discrete-time, is defined by its symmetry with its time-reversed version. Mathematically, this is represented as
713
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

331
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
331
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

144
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
144

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

Quantum and Quantum-Inspired Stereographic K Nearest-Neighbour Clustering.

Entropy (Basel, Switzerland)·2023
Same author

Information Theoretic Methods for Future Communication Systems.

Entropy (Basel, Switzerland)·2023
Same author

Private Key and Decoder Side Information for Secure and Private Source Coding.

Entropy (Basel, Switzerland)·2022
Same author

Performance Analysis of Identification Codes.

Entropy (Basel, Switzerland)·2020
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

相关实验视频

Updated: May 31, 2025

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

对于离散的无记忆通道的联合识别和传感.

Wafa Labidi1, Yaning Zhao2, Christian Deppe2

  • 1Chair of Theoretical Information Technology, Technical University of Munich, 80333 Munich, Germany.

Entropy (Basel, Switzerland)
|January 24, 2025
PubMed
概括

本研究引入了一种更有效的识别 (ID) 方案,用于离散无内存通道 (DMC). 这种新方法可以同时估计通道状态,比传统的香农传输提高效率.

科学领域:

  • 信息理论 信息理论
  • 通信系统工程 通信系统工程
  • 信号处理 信号处理

背景情况:

  • 传统的Shannon传输代码专注于消息解码,这对于简单的验证任务可能是低效的.
  • 像Ahlswede和Dueck这样的识别 (ID) 方案,为通过离散无内存通道 (DMC) 验证发送的消息提供了更高的效率.
  • 当不需要解码时,ID方案在能源和硬件复杂性方面变得更加高效.

研究的目的:

  • 在一个具有独立且相同分布 (i.i.d) 的DMC上调查联合识别和通道状态估计. 国家序列.状态序列.
  • 描述一个系统的识别能力-扭曲函数,在这个系统中,发送者通过因果观察来估计通道状态.
  • 探索ID方案的好处,当与道状态估计相结合时.

主要方法:

  • 该研究模拟了一个系统,其中发送者通过DMC传输ID消息,同时估计未知的随机通道状态.
  • 频道状态估计是使用对频道输出的严格因果观察进行的.
  • 核心方法包括对这个特定系统的ID容量扭曲函数进行完整的表征.

主要成果:

  • 对于联合ID和通道状态估计问题的ID容量扭曲函数的完整表征.
  • 这些发现证明了在DMC上同时执行ID和状态估计的可行性和效率.
关键词:
信息理论信息理论联合识别和传感信息识别 信息识别

更多相关视频

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.0K
Characterization of Anisotropic Leaky Mode Modulators for Holovideo
09:36

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Published on: March 19, 2016

7.9K

相关实验视频

Last Updated: May 31, 2025

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
Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.0K
Characterization of Anisotropic Leaky Mode Modulators for Holovideo
09:36

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Published on: March 19, 2016

7.9K
  • 这项研究量化了这种联合估计过程中固有的权衡.
  • 结论:

    • 拟议的联合识别和通道状态估计方案为通信系统提供了更有效的范式.
    • 这项工作通过整合道状态意识来提高对ID方案的理解,这对于优化通过动态道进行通信至关重要.
    • 衍生的ID容量扭曲函数为此类系统提供了一个基本的限制,指导未来的设计和优化.