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

State Space Representation01:27

State Space Representation

519
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
519
Upsampling01:22

Upsampling

574
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...
574
Downsampling01:20

Downsampling

596
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...
596

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

Synthesis, Characterization, and Photovoltaic Performance of Porphyrin-Fullerene Dyads.

The Journal of organic chemistry·2026
Same author

Mechanosynthesis of [60]Fullerene-Fused Tetrahydropyridines with Magnesium Nitride as the Nitrogen Source.

Organic letters·2026
Same author

The current and future landscape of AI foundation models for cancer management.

Nature communications·2026
Same author

ZS4D: Zero-Shot Self-Similarity-Steered Denoiser for Volumetric Photon-Counting CT.

IEEE transactions on radiation and plasma medical sciences·2026
Same author

Triflic Anhydride-Mediated Cycloacylation of [60]Fullerene with 1-Naphthoic Acids: Synthesis and Derivatization of [60]Fullerene-Fused Dihydrophenalenones.

Organic letters·2026
Same author

Dual-Domain Denoising Diffusion Probabilistic Model for Metal Artifact Reduction.

IEEE transactions on radiation and plasma medical sciences·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
関連記事をすべて見る

関連する実験動画

Updated: Jan 14, 2026

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.2K

情報最大化ソフト可変離散化による自己教師あり画像表現学習

Chuang Niu, Wenjun Xia, Hongming Shan

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |January 12, 2026
    PubMed
    まとめ
    この要約は機械生成です。

    本研究では、画像表現のための新しい自己教師あり学習方法である情報最大化ソフト可変離散化(IMSVD)を紹介する。IMSVDは潜在変数をソフトに離散化することで特徴学習を強化し、下流タスクにおいて優れた精度と効率を達成する。

    キーワード:
    自己教師あり学習画像表現学習情報理論次元削減コンピュータビジョン

    さらに関連する動画

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    732
    Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
    09:55

    Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

    Published on: January 5, 2024

    1.8K

    関連する実験動画

    Last Updated: Jan 14, 2026

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
    11:38

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

    Published on: August 23, 2017

    10.2K
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    732
    Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
    09:55

    Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

    Published on: January 5, 2024

    1.8K