title: ÐÐ»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ ÑÐ¶Ð°ÑÐ¸Ñ Ð°ÐºÑÑÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Efficient compression algorithms for acoustic data
Creators: name: Ð¡ÑÑÑÐºÐ¾Ð², ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð°ÐºÑÑÑÐ¸ÑÐµÑÐºÐ¸Ðµ Ð´Ð°Ð½Ð½ÑÐµ
ÑÐ¶Ð°ÑÐ¸Ðµ
Ð°Ð»Ð³Ð¾ÑÐ¸ÑÂ­Ð¼Ñ
Ð½ÐµÑÑÐµÐ¿ÑÐ¾Ð²Ð¾Ð´
ÑÐ»ÑÑÑÐ°Ð·Ð²ÑÐº
acoustic data
compression
algorithms
oilpipeline
ultrasonic sound

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description: The subject of the graduate qualification work is Â«Efficient compression algorithms for acoustic dataÂ». The purpose of this graduate qualification work is to develop an application based on an efficient acoustic data compression algorithm. Subject of research â algorithms for efficient compression of acoustic data. Tasks to be solved in the course of the study: 1. Analysis of acoustic data. 2. Study of lossless and lossy compression algorithms. 3. Estimation of compression ratio and loss ratio of compression algorithms. 4. Development of an application based on an efficient compression algorithm. 5. Evaluation of the performance of the developed application. In the course of the work, acoustic data were analyzed and algorithms for their compression were investigated. A comparative analysis of lossless and lossy algorithms was carried out on acoustic data provided by the customer. To carry out the analysis, a wrapper application was written over the ffmpeg [14] utility in the Python3.10 programming language. Based on one of the compression algorithms, a multi-threaded command line application was developed in the C++17 programming language for the Ubuntu22.04 operating system. Unit and integration tests have been written for the application. The developed application will be used to compress the data obtained by the study of the integrity of the pipeline using the method of ultrasonic diagnostics. It is concluded that audio file compression algorithms lead to very low losses when compressing acoustic data.