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Compressive Sensing Based Audio Scrambling Using Arnold Transform

  • Nishanth Augustine
  • Sudhish N. George
  • P. P. Deepthi
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 420)

Abstract

In this paper, a novel idea for scrambling the compressive sensed audio data using two dimensional Arnold transform is presented. In the proposed method, Arnold matrix is constructed by the numbers generated by using a secret key and a logistic map. A key based measurement matrix is used for compressive sensing to avoid the transmission and storage requirement of the matrix and to improve the security. The combination of compressive sensing and arnold scrambling provides very high security and ensures efficient channel usage, resistivity to noise, best signal to noise ratio and good scrambling of data. Experimental results confirm the effectiveness of the proposed scheme.

Keywords

Compressive Sense Audio Signal Measurement Matrix Reconstruction Quality Audio Watermark 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Nishanth Augustine
    • 1
  • Sudhish N. George
    • 1
  • P. P. Deepthi
    • 1
  1. 1.Department of Electronics and CommunicationNational Institute of TechnologyCalicutIndia

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