Speech scrambling based on multiwavelet and Arnold transformations
نویسندگان
چکیده
For communication applications where secure speech signal transmissions are a key requirement, scrambler is taken into consideration. To prevent someone from listening in on private conversations without their knowledge, it can transform clear that unintelligible. The proposed scrambling system involves using two types of frequency transformation techniques: multiwavelet and Arnold transform. effectiveness the algorithm was evaluated with help three different measurements: peak to noise ratio (PSNR), estimated time (ET), mean square error (MSE). According final findings, outcome scrambled does not have any residual intelligibility, while quality descrambled extremely satisfactory has low MSE level.
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ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Computer Science
سال: 2023
ISSN: ['2502-4752', '2502-4760']
DOI: https://doi.org/10.11591/ijeecs.v30.i2.pp927-935