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相关概念视频

Encoding01:19

Encoding

132
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
132
Deconvolution01:20

Deconvolution

132
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
132
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

173
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
173
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

58
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
58
Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

5.7K
Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
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Discrete-time Fourier transform01:26

Discrete-time Fourier transform

269
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...
269

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相关实验视频

Updated: Jun 6, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

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混合窗口解码 共同源码通道 任何时间编码系统

Li Deng1,2, Zhiping Shi1,2, Yixin Wang3

  • 1National Key Laboratory on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China.

Entropy (Basel, Switzerland)
|November 27, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了用于联合源通道随时编码 (JSCAC) 系统的联合混合窗口解码 (JHWD) 算法. 在保持错误校正性能的同时,JHWD减少了解码复杂性,为JSCAC和其他空间合编码系统提供了实用的解决方案.

关键词:
适应本地扩展窗口解码.任何时间编码.联合源通道编码 (JSCC)

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相关实验视频

Last Updated: Jun 6, 2025

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科学领域:

  • 信息理论 信息理论
  • 编码理论编码理论
  • 数字通信数字通信

背景情况:

  • 联合源码通道随时编码 (JSCAC) 结合了源码和通道编码,以提高性能.
  • 现有的JSCAC系统经常使用联合扩展窗口解码 (JEWD),它提供了高错误纠正,但也具有高复杂性.
  • 需要解码算法来平衡JSCAC中的性能和复杂性.

研究的目的:

  • 为JSCAC系统提出一个新的联合混合窗口解码 (JHWD) 算法.
  • 为了减少JSCAC的解码复杂性,同时保持错误纠正能力.
  • 为JSCAC和相关编码结构提供一个低复杂度的实现选项.

主要方法:

  • 开发一个联合混合窗口解码 (JHWD) 算法.
  • 通过基于综合征检查检测指导的自适应本地扩展窗口解码的实施.
  • 使用混合窗口结构来管理窗口扩张和滑动.
  • 提出了一个改进的密度演变算法,用于对比性能分析.

主要成果:

  • JHWD算法有效地减少了与窗口扩展相关的解码复杂性.
  • 窗口滑动引起的错误传播被混合窗口方法所缓解.
  • 拟议的JHWD方案显示了与最先进的方法可比的错误纠正性能.
  • 非对称性性能分析证实了JHWD算法的有效性.

结论:

  • 对于JSCAC系统来说,JHWD算法提供了一个可行的低复杂性解决方案.
  • 这种解码方案适用于使用空间合代码的各种联合源通道编码 (JSCC) 系统.
  • 在解码复杂性和错误纠正性能之间,JHWD提供了一个实用的权衡.