{"id":24091913,"url":"https://github.com/luhuadong/rtt-libfilter","last_synced_at":"2026-06-07T22:34:18.455Z","repository":{"id":109656728,"uuid":"267480636","full_name":"luhuadong/rtt-libfilter","owner":"luhuadong","description":"Digital filter algorithm library for RT-Thread","archived":false,"fork":false,"pushed_at":"2020-05-28T08:16:17.000Z","size":547,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-27T09:01:37.984Z","etag":null,"topics":["rt-thread"],"latest_commit_sha":null,"homepage":"","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/luhuadong.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-05-28T03:07:24.000Z","updated_at":"2022-08-03T08:52:33.000Z","dependencies_parsed_at":null,"dependency_job_id":"e84a25e9-6a72-4515-abda-97ef23dd8349","html_url":"https://github.com/luhuadong/rtt-libfilter","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/luhuadong/rtt-libfilter","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luhuadong%2Frtt-libfilter","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luhuadong%2Frtt-libfilter/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luhuadong%2Frtt-libfilter/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luhuadong%2Frtt-libfilter/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/luhuadong","download_url":"https://codeload.github.com/luhuadong/rtt-libfilter/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/luhuadong%2Frtt-libfilter/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34041087,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-07T02:00:07.652Z","response_time":124,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["rt-thread"],"created_at":"2025-01-10T07:44:46.488Z","updated_at":"2026-06-07T22:34:18.433Z","avatar_url":"https://github.com/luhuadong.png","language":"C","funding_links":[],"categories":[],"sub_categories":[],"readme":"# rtt-libfilter\nDigital filter algorithm library for RT-Thread\n\n采用数字滤波算法克服随机干扰的误差具有以下优点：\n\n1、数字滤波无需其他的硬件成本，只用一个计算过程，可靠性高，不存在阻抗匹配问题。尤其是数字滤波可以对频率很低的信号进行滤波，这是模拟滤波器做不到的。\n\n2、数字滤波使用软件算法实现，多输入通道可共用一个滤波程序，降低系统开支。\n\n3、只要适当改变滤波器的滤波程序或运算，就能方便地改变其滤波特性，这对于滤除低频干扰和随机信号会有较大的效果。\n\n4、在单片机系统中常用的滤波算法有限幅滤波法、中值滤波法、算术平均滤波法、加权平均滤波法、滑动平均滤波、低通滤波等。\n\n\n包含：\n\n- Kalman filter\n- mean filter\n- Savitzky-Golay filter (S-G滤波器)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluhuadong%2Frtt-libfilter","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fluhuadong%2Frtt-libfilter","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fluhuadong%2Frtt-libfilter/lists"}