Compressive Sensing Based Audio Scrambling Using Arnold Transform

Autor:	P. P. Deepthi, Nishanth Augustine, Sudhish N. George
Rok vydání:	2014
Předmět:	Mathematics::Dynamical Systems Audio signal Noise (signal processing) Computer science Speech recognition Scrambling Matrix (mathematics) Compressed sensing Signal-to-noise ratio Audio watermark Computer Science::Multimedia Logistic map Algorithm Computer Science::Cryptography and Security
Zdroj:	Communications in Computer and Information Science ISBN: 9783642545245 SNDS
DOI:	10.1007/978-3-642-54525-2_15
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f2ba6db0e2bb3f75f7039e701e9ae22f https://doi.org/10.1007/978-3-642-54525-2_15 Zobrazit plný text záznamu