title: Ð¡Ð¶Ð°ÑÐ¸Ðµ Ð°ÑÐ´Ð¸Ð¾Ð´Ð°Ð½Ð½ÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð²ÐµÐ¹Ð²Ð»ÐµÑ Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ð¹
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: Audio data compression using Wavelet transform
Creators: name: Ð¡ÐµÐ²Ð°ÑÐºÑÐ»Ð¾Ð², ÐÐ³Ð°Ð±ÐµÐº
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: ÑÐ¿ÐµÐºÑÑ
Ð¿Ð¾Ð»Ð¾ÑÐ° ÑÐ°ÑÑÐ¾Ñ
Ð´Ð¸Ð½Ð°Ð¼Ð¸ÑÐµÑÐºÐ¸Ð¹ Ð´Ð¸Ð°Ð¿Ð°Ð·Ð¾Ð½
Ð¼Ð¾Ð´ÑÐ»ÑÑÐ¸Ñ
ÐÐµÐ¹Ð²Ð»ÐµÑ-Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ðµ
ÑÑÐ½ÐºÑÐ¸Ð¾Ð½Ð°Ð» ÐºÐ°ÑÐµÑÑÐ²Ð°
spectrum
frequency band
dynamic range
modulation
Wavelet transform
quality functional

description: Ð Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ ÑÐ°ÑÑÐ¼Ð°ÑÑÐ¸Ð²Ð°ÑÑÑÑ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ Ð°ÑÐ¿ÐµÐºÑÑ Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð°ÑÐ´Ð¸Ð¾ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð² Ð²Ð¾ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¹ Ð¸ ÑÐ°ÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð¾Ð±Ð»Ð°ÑÑÐ¸. Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¾ÑÐ½Ð¾Ð²Ð½ÑÐµ Ð¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ ÑÐµÐ¾ÑÐ¸Ð¸ Ð²ÐµÐ¹Ð²Ð»ÐµÑ-Ð°Ð½Ð°Ð»Ð¸Ð·Ð°.Â Â Â Â Â Â Â Â  ÐÐ° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð²ÐµÐ¹Ð²Ð»ÐµÑ-ÑÐ°Ð·Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐ°ÑÑÐ¾ÑÐ½Ð¾Ð³Ð¾ ÑÐ¶Ð°ÑÐ¸Ñ Ð°ÑÐ´Ð¸Ð¾ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð².Â Â Â Â Â Â Â Â  Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½ÑÐ¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ð² ÑÑÐµÐ´Ðµ MatLAB, Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹ ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐ¶Ð°ÑÐ¸Ñ Ð² ÑÑÐ°Ð²Ð½ÐµÐ½Ð¸Ð¸ Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ð¼ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð¼ MPEG/AUDIO.Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° ÑÐ¶Ð°ÑÐ¸Ñ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð²ÐµÐ¹Ð²Ð»ÐµÑ-Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ñ.Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ ÑÐµÑÐ°ÑÑÑÑ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸:Â Â Â Â Â Â Â Â  - Ð°Ð½Ð°Ð»Ð¸Ð· ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ¶Ð°ÑÐ¸Ñ Ð°ÑÐ´Ð¸Ð¾ÑÐ¸Ð³Ð½Ð°Ð»Ð¾Ð²;Â Â Â Â Â Â Â Â  -Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ðµ Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐ¸Ð³Ð½Ð°Ð»Ð° Ñ Ð¸Ð¼Ð¿ÑÐ»ÑÑÐ½Ð¾-ÐºÐ¾Ð´Ð¾Ð²Ð¾Ð¹ Ð¼Ð¾Ð´ÑÐ»ÑÑÐ¸ÐµÐ¹;Â Â Â Â Â Â Â Â  - ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¿ÑÑÐ¼Ð¾Ð³Ð¾ Ð²ÐµÐ¹Ð²Ð»ÐµÑ Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ñ;Â Â Â Â Â Â Â Â  -ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð±Ð¾Ð±ÑÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÑÐ½ÐºÑÐ¸Ð¾Ð½Ð°Ð»Ð° ÐºÐ°ÑÐµÑÑÐ²Ð° ÑÐ¶Ð°ÑÐ¸Ñ Ð¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ ÐµÐ³Ð¾ Ðº ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð¼Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ.
description: In the final qualifying work, the main aspects and algorithms for converting audio signals in the time and frequency domain are considered. The main provisions of the theory of wavelet analysis are considered.On the basis of wavelet decomposition, an algorithm for frequency compression of audio signals is constructed.The developed algorithm is implemented in the MatLAB environment, the analysis of compression quality indicators is carried out in comparison with the existing MPEG/AUDIO algorithm.The purpose of this qualification work is to study the wavelet transform in the applied area - the transmission of signals over a radio channel and their storage in digital form.In the course of work, the following tasks are solved:Â - analysis of existing methods of audio signal compression;Â - obtaining a mathematical model of a signal with pulse code modulation;Â - development of an algorithm for direct wavelet transform;Â - formation of a generalized compression quality functional and its application to the developed algorithm.