Ukrainian Applied Mathematics: Translation Working Drafts and TeX Sources

Working record for Ukrainian applied mathematics translations and source reconstructions in the Modern LaTeX Editions of Mathematics Manuscripts project. This record collects current Ukrainian reader PDFs together with TeX sources, build reports, and provenance notes for selected material in signal processing, software-defined radio, state estimation, control, robotics, sensor fusion, and related applied mathematics. Status at a glance. [########--] reader set: 13 current reader PDFs plus a guide, about 413 reader pages; [#######---] source/TeX preservation: current source trees and build reports are attached; [#####-----] mathematical review: layout and build QA are underway, while terminology and source-fidelity review remain active work. Current contents. The front-facing PDFs include an integrated reference, a PySDR selected module, SDR survey material, wave-equation controllability chapters, event and multi-sensor fusion material, antenna/RF notes, robotics perception/navigation material, filtering modules, micro-Lie and Kalman/ESKF starts, and one working OCR draft. Workflow provenance. Source-open TeX, preprint sources, and local OCR/transcription drafts are converted into Ukrainian TeX, compiled locally, checked for renderability and obvious layout defects, and preserved with build artifacts so that readers can inspect and improve the work. The project-generated translation and reconstruction layers are released under CC0 where legally available.本记录隶属于《数学手稿现代LaTeX排版版》（Modern LaTeX Editions of Mathematics Manuscripts）项目，用于归集乌克兰语应用数学译稿与源码重构相关工作档案。本数据集收录经筛选的信号处理、软件定义无线电（software-defined radio）、状态估计、控制论、机器人学、传感器融合（sensor fusion）及相关应用数学领域素材的当前版本乌克兰语读者版PDF文件、TeX源码、构建报告与来源溯源说明。 项目现状概览。[########--] 读者版合集：含13份当前版本读者版PDF与1份使用指南，总计约413页；[#######---] TeX源码保存：已附齐全当前版本源码树与构建报告；[#####-----] 数学内容审核：排版与构建质量保证（QA）工作已启动，术语规范与源码保真度审核仍在进行中。 当前收录素材。公开面向读者的PDF文件包含综合参考资料、PySDR精选模块、软件定义无线电综述素材、波动方程能控性章节、事件与多传感器融合素材、天线/射频（RF）笔记、机器人感知与导航素材、滤波模块、微型李代数与卡尔曼/误差状态卡尔曼滤波（Error State Kalman Filter, ESKF）入门内容，以及1份待完善的光学字符识别（Optical Character Recognition, OCR）草稿。 工作流程溯源。本项目将开源TeX源码、预印本素材与本地OCR/转录草稿转换为乌克兰语TeX文件，在本地完成编译，核查渲染效果与明显排版缺陷，并与构建产物一同归档保存，以便读者查阅并改进相关工作。项目生成的译稿与重构层素材，在法律许可范围内采用CC0协议发布。