Achieving lossless compression of audio by encoding its constituted components (LCAEC)

  • Uttam Kr. MondalEmail author
S.I. : CSI2017


In this paper, an approach has been made to produce a compressed audio without losing any information. Separating amplitude and phase components followed by encoding individual components into suitable pattern is done in this technique. Further, binary encoding techniques are applied on these generated patterns to produce more compressed representation of audio. The encoding of amplitude is done by adaptive differential pulse-code modulation-based technique with various quantization levels considering neighbouring sampled values of a particular block. Both encoded phase and amplitude signals are represented with less volume of data. Amplitude signal is further compressed with applying Burrows–Wheeler transform and Huffman encoding technique, respectively. Experimental results are supported by statistical parameter (compression ratio) with other parameters (encoding time and decoding time) in comparison with other existing techniques to justify the efficiency of the present compression technique.


Lossless audio compression Audio compression ratio Sampling audio Separating phase and amplitude signals Adaptive audio compression Burrows–Wheeler transform Huffman encoding 



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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceVidyasagar UniversityMidnapurIndia

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