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Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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ECSS: High-Embedding-Capacity Audio Watermarking with Diversity Reception.

Shiqiang Wu1,2, Ying Huang2, Hu Guan2

  • 1School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 101408, China.

Entropy (Basel, Switzerland)
|December 23, 2022
PubMed
Summary
This summary is machine-generated.

This study enhances digital audio watermarking capacity using the extended-codebook spread-spectrum (ECSS) algorithm and diversity reception (DR). The ECSS algorithm boosts embedding capacity while maintaining robustness and imperceptibility for copyright protection.

Keywords:
digital audio watermarkingdiversity receptionembedding capacityspread spectrum

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Area of Science:

  • Digital Signal Processing
  • Information Theory
  • Computer Science

Background:

  • Digital audio watermarking is crucial for copyright protection.
  • Low embedding capacity limits current watermarking applications.

Purpose of the Study:

  • To address the low embedding capacity challenge in digital audio watermarking.
  • To propose an improved watermarking algorithm with higher capacity and robustness.

Main Methods:

  • Information-theoretic analysis and modeling of spread-spectrum watermarking as a communication channel.
  • Development of the extended-codebook spread-spectrum (ECSS) watermarking algorithm.
  • Integration of the diversity reception (DR) mechanism for optimization.

Main Results:

  • The proposed ECSS algorithm significantly increases embedding capacity.
  • The diversity reception mechanism enhances robustness without compromising imperceptibility.
  • Experimental results validate the effectiveness against signal processing attacks.

Conclusions:

  • The ECSS algorithm with DR offers a viable solution for high-capacity, robust, and imperceptible digital audio watermarking.
  • This advancement supports broader applications of digital audio copyright protection.