IIUM Repository (IREP)

Performance analysis of IEEE 1857.2 lossless audio compression linear predictor algorithm

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.

[img] PDF - Published Version
Restricted to Registered users only

Download (2MB) | Request a copy
[img]
Preview
PDF
Download (493kB) | Preview

Abstract

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.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 5588/60071
Uncontrolled Keywords: Lossless Audio Compression; LPC; PARCOR; Spectral Flatness Measure;
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Dr Teddy Surya Gunawan
Date Deposited: 14 Dec 2017 15:08
Last Modified: 25 Oct 2018 10:00
URI: http://irep.iium.edu.my/id/eprint/60071

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year