SigMF

SigMF

信号元数据格式标准化 促进跨平台数据共享

SigMF是一种开放的信号元数据格式标准,为信号数据提供统一的描述方法。该标准有助于简化数据共享流程,保存完整的数据采集细节,并支持跨工具的数据互操作。SigMF可在Python、C++和GNU Radio等环境中使用,适用于广泛的信号处理领域。通过标准化元数据格式,SigMF提高了信号数据的可移植性和长期可用性。

SigMF信号元数据格式数据共享信号处理标准化Github开源项目
<p align="center"><img src="https://github.com/sigmf/SigMF/blob/v1.2.0/logo/sigmf_logo.svg" alt="Rendered SigMF Logo"/></p>

SigMF: The Signal Metadata Format

Welcome to the SigMF project! The SigMF specifications can be viewed here or downloaded as a PDF. Below we discuss why and how you might use SigMF in your projects.

Introduction

Sharing sets of recorded signal data is an important part of science and engineering. It enables multiple parties to collaborate, is often a necessary part of reproducing scientific results (a requirement of scientific rigor), and enables sharing data with those who do not have direct access to the equipment required to capture it.

Unfortunately, these datasets have historically not been very portable, and there is not an agreed upon method of sharing metadata descriptions of the recorded data itself. This is the problem that SigMF solves.

By providing a standard way to describe data recordings, SigMF facilitates the sharing of data, prevents the "bitrot" of datasets wherein details of the capture are lost over time, and makes it possible for different tools to operate on the same dataset, thus enabling data portability between tools and workflows.

SigMF signal recordings typically involve a data file (e.g., a binary file of IQ or RF samples) and a metadata file containing plain text that describes the data. Together these files represent one recording, such as example.sigmf-data and example.sigmf-meta. Here is a minimal example of a SigMF .sigmf-meta file:

{ "global": { "core:datatype": "cf32_le", "core:sample_rate": 1000000, "core:hw": "PlutoSDR with 915 MHz whip antenna", "core:author": "Art Vandelay", "core:version": "1.2.0" }, "captures": [ { "core:sample_start": 0, "core:frequency": 915000000 } ], "annotations": [] }

Using SigMF

There are at least four ways you can use SigMF today, thanks to the community-supported projects:

  1. Within Python, using the official SigMF Python package sigmf available from pip: pip install sigmf.
  2. Within C++ using the header-only C++ library libsigmf.
  3. Within GNU Radio using the built-in SigMF source & sink blocks.
  4. Manually, using our examples and the spec itself, even if it's simply editing a text file.

Contributing

The SigMF standards effort is organized entirely within this Github repository. Questions, suggestions, bug reports, etc., are discussed in the issue tracker, feel free to create a new issue and provide your input, even if it's not a traditional issue. Changes to the specification only occur through Pull Requests. This ensures that the history and background of all discussions and changes are maintained for posterity.

There is also a SigMF chat room on GNU Radio's Matrix chat server where you can ask SigMF-related questions, or participate in various discussions. Lastly, there are monthly SigMF calls covering a variety of topics, on the third Monday of each month at 11:30AM Eastern/New York Time, please email marc@gnuradio.org for an invite and Zoom link.

Anyone is welcome to get involved - indeed, the more people involved in the discussions, the more useful the standard is likely to be!

Extensions

The "Core" SigMF standard is intentionally kept limited in scope, additional metadata fields can be added through SigMF Extensions. For example, the signal extension provides a standard way to specify modulation schemes and other attributes of wireless comms signals. Several general purpose canonical extensions live within this repository directly in the extensions directory, while others are maintained by third parties. Below are some popular sources for SigMF extensions. To have your extension reviewed for inclusion on this list, please open a PR adding the repository to the list below:

In general, extension publication pull requests should go into the Community Extension repository. Occasionally there is an extension that is so general purpose that it may be warranted to include in the core SigMF Repository extensions directory. Opening an issue in this repository for discussion (or noting this in a pull request in the Community Extension repository), or discussing on the SigMF Matrix Chat room is the best way to make that happen.

Software that seeks to perform validation on metadata can open a metafile, parse which extensions are used (if any), then pull the core JSON schema plus the JSON schemas for each extension being used (and optionally, an application-specific schema), then merge the global/captures/annotations objects between all schemas, and disable additionalProperties for all three so that typos can be detected.

PDF Generation of Specifications Document

The main pdf is generated using the following content:

  1. sigmf-schema.json - global/captures/annotations tables and descriptions, as well as the Abstract
  2. collection-schema.json - Collection object documentation
  3. additional_content.md - mix of plaintext/markdown/latex for the remaining sections of the document

The script docs-generator.py uses Python, PyLaTeX, Pandoc, and Inkscape to create the specifications document in PDF and HTML formats.

Frequently Asked Questions

Is this a GNU Radio effort?

No, this is not a GNU Radio specific effort. This effort first emerged from a group of GNU Radio core developers, but the goal of the project is to provide a standard that will be useful to anyone and everyone, regardless of tool or workflow.

Is this specific to wireless communications?

No, similar to the response, above, the goal is to create something that is generally applicable to signal processing, regardless of whether or not the application is RF or communications related.

It seems like some issues take a long time to resolve?

Yes, and in most cases this is by design. Since the goal of this project is create a broadly useful standards document, it is in our best interest to make sure we gather and consider as many opinions as possible, and produce the clearest and most exact language possible. This necessarily requires extreme attention to detail and diligence.

编辑推荐精选

Vora

Vora

免费创建高清无水印Sora视频

Vora是一个免费创建高清无水印Sora视频的AI工具

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

酷表ChatExcel

酷表ChatExcel

大模型驱动的Excel数据处理工具

基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。

AI工具使用教程AI营销产品酷表ChatExcelAI智能客服
TRAE编程

TRAE编程

AI辅助编程,代码自动修复

Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。

热门AI工具生产力协作转型TraeAI IDE
AIWritePaper论文写作

AIWritePaper论文写作

AI论文写作指导平台

AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。

数据安全AI助手热门AI工具AI辅助写作AI论文工具论文写作智能生成大纲
博思AIPPT

博思AIPPT

AI一键生成PPT,就用博思AIPPT!

博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。

热门AI工具AI办公办公工具智能排版AI生成PPT博思AIPPT海量精品模板AI创作
潮际好麦

潮际好麦

AI赋能电商视觉革命,一站式智能商拍平台

潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。

iTerms

iTerms

企业专属的AI法律顾问

iTerms是法大大集团旗下法律子品牌,基于最先进的大语言模型(LLM)、专业的法律知识库和强大的智能体架构,帮助企业扫清合规障碍,筑牢风控防线,成为您企业专属的AI法律顾问。

SimilarWeb流量提升

SimilarWeb流量提升

稳定高效的流量提升解决方案,助力品牌曝光

稳定高效的流量提升解决方案,助力品牌曝光

Sora2视频免费生成

Sora2视频免费生成

最新版Sora2模型免费使用,一键生成无水印视频

最新版Sora2模型免费使用,一键生成无水印视频

下拉加载更多