Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

2.9K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
2.9K
Sampling Methods: Overview01:06

Sampling Methods: Overview

498
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
498
Sampling Distribution01:12

Sampling Distribution

13.6K
Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
13.6K
Second-order Op Amp Circuits01:19

Second-order Op Amp Circuits

422
Implementing second-order low-pass filters in audio systems is crucial in refining audio signals by eliminating undesirable high-frequency noise. These filters typically involve second-order op-amp circuits configured as voltage followers, encompassing two nodes with distinct storage elements.
The analysis of such circuits follows a systematic approach, similar to the second-order RLC circuits. In practical scenarios, bulky inductors are rarely employed due to their size and weight. This means...
422
Sampling Theorem01:15

Sampling Theorem

760
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.
760
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

335
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...
335

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Letter: Further Considerations on the Clinical Use of the Scottish Inflammatory Prognostic Score in STEMI No-Reflow Prediction.

Angiology·2026
Same author

Impact of Frontline Treatment Strategies on Outcomes in Patients With Acute Myeloid Leukemia, Myelodysplasia-Related.

Cancer reports (Hoboken, N.J.)·2026
Same author

Theoretical exploration of NIR-II circularly polarized luminescence in open-shell boron-embedded pyrene-naphthalene helicenes.

Physical chemistry chemical physics : PCCP·2026
Same author

Maternal exposure to polystyrene nanoplastics triggers ovarian injury in mice offspring: Ferroptosis mediated by the HIF-1α/HO-1 pathway.

Reproductive toxicology (Elmsford, N.Y.)·2026
Same author

An Efficient Pharmacogenomic Assay for Psychotropic Drugs by Multiplex Fluorescence Melting Curve Analysis.

Drug design, development and therapy·2026
Same author

The immune landscape of melanoma microenvironmental crosstalk.

Frontiers in immunology·2026
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
関連記事をすべて見る

関連する実験動画

Updated: Sep 10, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K

分布された間接的なソース・コーディングの速度歪み分析

Jiancheng Tang1, Qianqian Yang1

  • 1College of information Science and Electronic Engineering, Zhejiang University, Hangzhou 310007, China.

Entropy (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ
この要約は機械生成です。

この研究は,意味論的コミュニケーションと学習システムの間接的なソースコーディングを扱っています. 研究者は条件付き独立源の速度歪み関数を導出し,計算のためにBlahut-Arimotoアルゴリズムを開発した.

キーワード:
Blahut アリモトアルゴリズム配布されたソースコーディング速度歪み理論セマンティック・コミュニケーションサイド情報

さらに関連する動画

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.5K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.0K

関連する実験動画

Last Updated: Sep 10, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K
Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.5K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.0K

科学分野:

  • 情報理論
  • 分散型システム
  • 機械学習

背景:

  • タスク指向のセマンティックコミュニケーションと分散型学習システムは,効率的なデータ処理を必要とします.
  • 分散的間接ソースコーディングは,中央のデコーダーのために独立してエンコードされた複数のソースを含む.

研究 の 目的:

  • 歪曲の制約下で隠れた変数を復元するための分散型間接的なソースコーディング問題を研究する.
  • 条件的に独立した情報源の速度歪み関数を特徴づける.

主な方法:

  • 特定のソース依存のケースの正確な速度歪み関数の導出.
  • 数値計算のための分散型Blahut-Arimoto (BA) アルゴリズムの開発.
  • デコーダーで相関した側面の情報を利用する.

主要な成果:

  • 正確な速度-歪み関数は,条件付き独立の情報源に対して特徴付けられます.
  • 新しい分散型Blahut-Arimotoアルゴリズムが提案され,検証された.
  • アルゴリズムは効率的にレート歪み領域を計算します.

結論:

  • 提案された枠組みは,分散された間接的なソースコーディングの方法を提供します.
  • 開発されたアルゴリズムは,複雑なシステムにおける速度歪み関数の計算に有効です.
  • この研究は意味論的コミュニケーションと 分散学習の能力を向上させています