Performance analysis of IEEE 1857.2 lossless audio compression linear predictor algorithm

In addition to commercial consumer market, high quality and multichannel audio has become more relevant in many other fields. More lossless audio compression standards and algorithm are proposed to tackle the problem of reducing the size of a raw audio bitstream without loss of data. This paper has...

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Main Authors: Abdul Muin, Fathiah, Gunawan, Teddy Surya, Elsheikh, Elsheikh Mohamed Ahmed, Kartiwi, Mira
Format: Proceeding Paper
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Subjects:
Online Access:http://irep.iium.edu.my/60071/
http://irep.iium.edu.my/60071/13/60071-Performance%20Analysis%20of%20IEEE.pdf
http://irep.iium.edu.my/60071/19/60071_Performance%20analysis%20of%20IEEE%201857.2%20lossless%20audio%20compression_Scopus%20CONF.pdf
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author Abdul Muin, Fathiah
Gunawan, Teddy Surya
Elsheikh, Elsheikh Mohamed Ahmed
Kartiwi, Mira
author_facet Abdul Muin, Fathiah
Gunawan, Teddy Surya
Elsheikh, Elsheikh Mohamed Ahmed
Kartiwi, Mira
author_sort Abdul Muin, Fathiah
building IIUM Repository
collection Online Access
description In addition to commercial consumer market, high quality and multichannel audio has become more relevant in many other fields. More lossless audio compression standards and algorithm are proposed to tackle the problem of reducing the size of a raw audio bitstream without loss of data. This paper has two objectives. First, we aim to review and analyze the performance of the IEEE 1857.2 standard. Focus is on the predictor and the pre-processing block. The predictor utilizes Linear Predictive Coding (LPC) as its main mechanism. The pre-processing block normalizes the error residue of the Linear Predictive encoder. The second objective is to present results from experimenting different wave sound file type inputs. Results are discussed, and comparisons are made to identify the effect on compression ratio of the lossless encoder. As well as this, comparison is made to analyze the entropy flatness of the error residue from the predictor and pre-processing output the predictor order in the linear predictive coding mechanism varies. We concluded that pre-processing block works well to flatten the output at lower predictor order for all the sound types, but works best at improving the residual output for music sound type.
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language English
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spelling iium-600712018-10-25T02:00:18Z http://irep.iium.edu.my/60071/ Performance analysis of IEEE 1857.2 lossless audio compression linear predictor algorithm Abdul Muin, Fathiah Gunawan, Teddy Surya Elsheikh, Elsheikh Mohamed Ahmed Kartiwi, Mira TK Electrical engineering. Electronics Nuclear engineering In addition to commercial consumer market, high quality and multichannel audio has become more relevant in many other fields. More lossless audio compression standards and algorithm are proposed to tackle the problem of reducing the size of a raw audio bitstream without loss of data. This paper has two objectives. First, we aim to review and analyze the performance of the IEEE 1857.2 standard. Focus is on the predictor and the pre-processing block. The predictor utilizes Linear Predictive Coding (LPC) as its main mechanism. The pre-processing block normalizes the error residue of the Linear Predictive encoder. The second objective is to present results from experimenting different wave sound file type inputs. Results are discussed, and comparisons are made to identify the effect on compression ratio of the lossless encoder. As well as this, comparison is made to analyze the entropy flatness of the error residue from the predictor and pre-processing output the predictor order in the linear predictive coding mechanism varies. We concluded that pre-processing block works well to flatten the output at lower predictor order for all the sound types, but works best at improving the residual output for music sound type. Institute of Electrical and Electronics Engineers Inc. 2017 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/60071/13/60071-Performance%20Analysis%20of%20IEEE.pdf application/pdf en http://irep.iium.edu.my/60071/19/60071_Performance%20analysis%20of%20IEEE%201857.2%20lossless%20audio%20compression_Scopus%20CONF.pdf Abdul Muin, Fathiah and Gunawan, Teddy Surya and Elsheikh, Elsheikh Mohamed Ahmed and Kartiwi, Mira (2017) Performance analysis of IEEE 1857.2 lossless audio compression linear predictor algorithm. In: 4th IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) 2017, 28th-30th November 2017, Putrajaya. http://icsima.ieeemy-ims.org/17/ 10.1109/ICSIMA.2017.8312033
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abdul Muin, Fathiah
Gunawan, Teddy Surya
Elsheikh, Elsheikh Mohamed Ahmed
Kartiwi, Mira
Performance analysis of IEEE 1857.2 lossless audio compression linear predictor algorithm
title Performance analysis of IEEE 1857.2 lossless audio compression linear predictor algorithm
title_full Performance analysis of IEEE 1857.2 lossless audio compression linear predictor algorithm
title_fullStr Performance analysis of IEEE 1857.2 lossless audio compression linear predictor algorithm
title_full_unstemmed Performance analysis of IEEE 1857.2 lossless audio compression linear predictor algorithm
title_short Performance analysis of IEEE 1857.2 lossless audio compression linear predictor algorithm
title_sort performance analysis of ieee 1857.2 lossless audio compression linear predictor algorithm
topic TK Electrical engineering. Electronics Nuclear engineering
url http://irep.iium.edu.my/60071/
http://irep.iium.edu.my/60071/
http://irep.iium.edu.my/60071/
http://irep.iium.edu.my/60071/13/60071-Performance%20Analysis%20of%20IEEE.pdf
http://irep.iium.edu.my/60071/19/60071_Performance%20analysis%20of%20IEEE%201857.2%20lossless%20audio%20compression_Scopus%20CONF.pdf