Audiowatermarking using empirical mode decomposition

Closed Posted May 20, 2015 Paid on delivery
Closed Paid on delivery

a new adaptive audio watermarking algorithm

based on Empirical Mode Decomposition (EMD) is introduced. The audio

signal is divided into frames and each one is decomposed adaptively, by

EMD, into intrinsic oscillatory components called Intrinsic Mode Functions

(IMFs). The watermark and the synchronization codes are embedded

into the extrema of the last IMF, a low frequency mode stable under different

attacks and preserving audio perceptual quality of the host signal.

The data embedding rate of the proposed algorithm is 46.9–50.3 b/s. Relying

on exhaustive simulations, we show the robustness of the hidden watermark

for additive noise, MP3 compression, re-quantization, filtering,

cropping and resampling. The comparison analysis shows that our method

has better performance than watermarking schemes reported recently

Matlab and Mathematica

Project ID: #7705890

About the project

1 proposal Remote project Active Jun 26, 2015

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rdk2405

Dear Sir, We are team of experts who have combined experience of 10 years in the field of signal processing, image processing and tools like MATLAB, Python. We would like to take up this project and do it for you with More

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