基于dither调制和蝶优化算法的自适应和盲目的音频水印算法
Qiuling Wu1, Dandan Huang1, Jiangchun Wei2
1School of Cyber Security, Jinling Institute of Technology, Nanjing, Jiangsu 211169, China.
Mathematical biosciences and engineering : MBE
|June 16, 2023
概括
这项研究介绍了一种使用dither调制和蝶优化算法 (BOA) 的自适应音频水印算法. 它增强了稳定性,并允许适应性参数匹配,在各种应用中实现最佳性能.
科学领域:
- 数字信号处理是数字信号处理.
- 信息安全信息安全.
- 优化算法的优化算法
背景情况:
- 提高稳定性和适应性匹配参数是音频水印的关键挑战.
- 现有的方法往往难以满足多样化的应用需求和强大的抗攻击能力.
研究的目的:
- 提出一种自适应和盲目的音频水印算法.
- 为了增强对各种攻击的强度.
- 为了实现算法参数的自适应优化.
主要方法:
- 使用二度调制和蝶优化算法 (BOA).
- 设计一个基于卷积的稳定功能,用于嵌入水印.
- 使用BOA通过编码群体和构建健身函数来优化关键参数.
- 在没有原始音频的情况下实施盲目的水印提取.
主要成果:
- 拟议的算法证明了对最佳关键参数的自适应性搜索.
- 它实现了对抗信号处理和同步攻击的强大稳定性.
- 盲目的提取成功实施.
结论:
- 适应式音频水印算法有效平衡了稳定性和性能要求.
- 集成BOA允许针对特定应用程序量身定制的参数优化.
- 这种方法比现有的音频水印技术有了显著的改进.
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