IEEE Open Journal of Signal Processing

该期刊的AI使用规则是对IEEE相关规则的补充：投稿即表示作者已默示确认阅读、理解并遵守LLM可接受使用规则，并确认稿件中使用的任何工具输出均已经过彻底检查，包括仔细的文本编辑、音视频内容验证以及代码测试以确保正确性。 模型中文摘要

The following rules complement the IEEE rules listed in: https://open.ieee.org/author-guidelines-for-artificial-intelligence-ai-generated-text When submitting a manuscript, the authors implicitly confirm that they have read, understood, and followed the rules for acceptable use of LLMs. In particular, the authors confirm that any output of these tools used in the manuscript has been thoroughly che…

所有IEEE期刊要求所有作者提供开放研究者与贡献者身份识别码（ORCID）。 模型中文摘要

All IEEE journals require an Open Researcher and Contributor ID (ORCID) for all authors.

为符合开放科学与可复现性原则，OJSP要求基于学习方法（如深度学习和字典学习）的常规论文作者提供训练好的模型及用于验证的软件。 模型中文摘要

To align with principles of Open Science and Reproducibility, the Open Journal of Signal Processing (OJSP), requires authors of regular papers on learning-based methods (e.g. Deep Learning and Dictionary Learning) to provide trained models along with software for validation.

所有投稿文章应为原创且未同时在他处审稿；如果文章基于先前发表物（如会议论文集），应引用原始发表并清楚说明两篇文章的差异。 模型中文摘要

All articles submitted for publication should be original and not under consideration elsewhere; if your article is based on a previous publication such as a conference proceeding, cite the original publication and clearly indicate how the articles differ.

该期刊为100%开放获取，所有内容免费向用户及其机构提供；所有文章目前以知识共享许可（CCBY或CCBY-NC-ND）发表且作者保留版权；CCBY文章允许在注明出处的前提下阅读、下载、复制、分发、打印、搜索、链接全文或用于其他合法目的，而CCBY-NC-ND文章在相同条件下复用不得用于商业目的或以任何方式改变作品。 模型中文摘要

This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles are currently published under Creative Commons licenses (either CCBY or CCBY-NC-ND), and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles published under CCBY, or u…

审稿人身份匿名，但审稿人知晓作者的姓名和所属机构。 模型中文摘要

The identity of the reviewer is anonymous, but the author's name and affiliation are known to the reviewer.

文章在录用前将接受抄袭筛查。 模型中文摘要

Articles will be screened for plagiarism before acceptance.

作者可在个人网站、雇主网站和/或经批准的第三方预印本服务器上发布与投稿稿件相同（除微小差异外）的预印本；投稿时须提供所有已发布预印本的完整清单（含URL），且这些预印本不应列入投稿稿件的参考文献列表。 模型中文摘要

Authors may post preprints of the submitted manuscript (i.e., preprints that are identical to the submitted manuscript, except for minor differences) on their personal website, on their employer’s website, and/or on approved third-party preprint servers. Please refer to the IEEE Author Center for complete information, i.e., IEEE Post-Publication Policies and IEEE Post-Publication Policies Infograp…