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Related Concept Videos

Sound as Pressure Waves01:17

Sound as Pressure Waves

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Sound waves, which are longitudinal waves, can be modeled as the displacement amplitude varying as a function of the spatial and temporal coordinates. As a column of the medium is displaced, its successive columns are also displaced. As the successive displacements differ relatively, a pressure difference with the surrounding pressure is created. The gauge pressure varies across the medium.
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The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
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Wavelet-Domain Information-Hiding Technology with High-Quality Audio Signals on MEMS Sensors.

Ming Zhao1, Shuo-Tsung Chen2, Shu-Yi Tu3

  • 1School of Computer Science, Yangtze University, Jingzhou 434025, China.

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This study introduces a novel audio information-hiding technique using wavelet transforms for secure data transmission. The method ensures high audio quality and robustness against attacks, protecting private data.

Keywords:
DWTMEMScompressiondigital informationoptimizationsensor

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Area of Science:

  • Digital Signal Processing
  • Information Security
  • Data Compression

Background:

  • Rapid advancements in sensor technology and internet prevalence have increased digital information transmission.
  • Audio security is crucial for private data transmission over the internet and via micro-electro-mechanical systems (MEMS) microphones.
  • Key requirements for audio information-hiding include imperceptibility, embedding capacity, and robustness.

Purpose of the Study:

  • To propose a high-quality audio information-hiding technology in the wavelet domain.
  • To address the challenges of imperceptibility, embedding capacity, and robustness in audio data hiding.
  • To enhance security for private data transmission and protect personal copyright.

Main Methods:

  • Utilizes the wavelet domain, specifically multi-coefficients of discrete wavelet transform (DWT), for information hiding.
  • Combines signal-to-noise ratio (SNR) optimization with quantization embedding for imperceptible concealment.
  • Integrates amplitude-thresholding compression technology and the matrix-type Lagrange principle for efficient data handling.

Main Results:

  • Experimental results demonstrate that the original audio quality is nearly maintained through SNR optimization.
  • The proposed method exhibits good robustness against common types of attacks.
  • The technique effectively reduces network transmission capacity while ensuring data security.

Conclusions:

  • The proposed wavelet-domain audio information-hiding technology effectively balances imperceptibility, embedding capacity, and robustness.
  • This method offers a secure solution for protecting private audio data and intellectual property online.
  • The integration of DWT, SNR optimization, and compression techniques provides a robust framework for secure audio transmission.