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ICOSP 2025: International Conference on Signal Processing

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ICOSP
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截稿日期:
2025-10-15 Extended
通知日期:
2025-11-05
会议日期:
2025-11-28
会议地点:
Osaka, Japan
届数:
11
浏览: 6527   关注: 0   参加: 0

会伴指数 (CP-I)

47.0 / 100
全站第 2,287 名 / 共 5,682 个会议 · 前 41%

电气与电子工程 第 159 / 509

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
67
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 有据可查的届次：11 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-19

征稿

ICOSP 2025 (International Conference on Signal Processing) is an academic conference held in Osaka, Japan on 2025-11-28. The paper submission deadline is 2025-10-15 (extended). Acceptance notifications are sent on 2025-11-05.

We welcome submissions related to these tracks as well as other areas related to signal processing. We encourage researchers, engineers, and practitioners to submit their original and unpublished research papers, as well as proposals for workshops, tutorials, and special sessions. We look forward to receiving your contributions and to having a fruitful conference in Osaka, Japan! 1. Signal Processing for Communications: ▪ Channel coding and decoding ▪ Equalization and synchronization ▪ Modulation and demodulation ▪ Multiple access techniques ▪ Wireless and cellular networks ▪ Cognitive radio and dynamic spectrum access 2. Audio and Speech Processing: ▪ Speech analysis and synthesis ▪ Audio and speech recognition ▪ Audio and speech enhancement ▪ Music signal processing ▪ Audio and speech coding ▪ Language modeling and understanding 3. Image and Video Processing: ▪ Image and video compression ▪ Image and video restoration ▪ Image and video analysis ▪ Image and video recognition ▪ Image and video synthesis ▪ Deep learning for image and video processing 4. Biomedical Signal Processing: ▪ Electrocardiogram (ECG) analysis ▪ Electroencephalogram (EEG) analysis ▪ Medical imaging and diagnosis ▪ Biomedical signal processing for diagnosis and treatment ▪ Wearable sensors and devices for healthcare 5. Multidimensional Signal Processing: ▪ Array signal processing ▪ Tensor signal processing ▪ Multidimensional filtering and transforms ▪ Sparse signal processing ▪ Compressed sensing 6. Pattern Recognition and Machine Learning for Signal Processing: ▪ Statistical signal processing ▪ Bayesian inference and estimation ▪ Supervised and unsupervised learning ▪ Deep learning for signal processing ▪ Pattern recognition and classification 7. Signal Processing for Control and Robotics: ▪ Control systems theory ▪ Robust and adaptive control ▪ Nonlinear control ▪ Networked control systems ▪ Robot perception and control 8. Signal Processing for Radar and Sonar Applications: ▪ Radar and sonar signal processing ▪ Signal processing for imaging and sensing ▪ Detection and tracking algorithms ▪ Array processing for radar and sonar ▪ Synthetic aperture radar and inverse problems
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