The Application in MRBT Copyright Protection of Digital Audio Watermarking Based on Independent Component Analysis

REN Ping; JIANG Zhen-jie; LI Ya-qin

Chinese

您当前的位置：

首页 >

文章列表页 >

The Application in MRBT Copyright Protection of Digital Audio Watermarking Based on Independent Component Analysis

更新时间：2026-09-04

- The Application in MRBT Copyright Protection of Digital Audio Watermarking Based on Independent Component Analysis
- Vol. 27, Issue 1, Pages: 77-80(2010)
- 作者机构：
  
  1. 江苏省现代企业信息化应用支撑软件工程技术研究开发中心,江苏,苏州,215000
  2. 苏州市职业大学机构,江苏,苏州,215000
  3. 信息工程大学,河南,郑州,450002
  4. 东华大学信息学院,上海,200051
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
任平, 姜真杰, 李亚琴. 基于ICA的音频数字水印在彩铃版权保护中的应用[J]. 微电子学与计算机, 2010, 27(1): 77-80.

REN Ping, JIANG Zhen-jie, LI Ya-qin. The Application in MRBT Copyright Protection of Digital Audio Watermarking Based on Independent Component Analysis[J]. 2010, 27(1): 77-80.
任平, 姜真杰, 李亚琴. 基于ICA的音频数字水印在彩铃版权保护中的应用[J]. 微电子学与计算机, 2010, 27(1): 77-80. DOI：

REN Ping, JIANG Zhen-jie, LI Ya-qin. The Application in MRBT Copyright Protection of Digital Audio Watermarking Based on Independent Component Analysis[J]. 2010, 27(1): 77-80. DOI：

摘要

提出了一种基于独立分量分析 (Independent Component Analysis

ICA) 的音频数字水印方法.嵌入水印时

对原始音频文件进行一级小波分解

在分解得到的逼近分量中利用随机混合方法嵌入加密水印后进行小波逆变换形成嵌入水印的音频文件.提取水印时

对音频文件进行一级小波分解

用基于快速ICA方法进行水印提取.仿真实验结果表明这种方法的强鲁棒性和可行性.这种方法可有效地保护网络上彩铃的版权和下载权限.

Abstract

A method of digital audio watermarking based on Independent Component Analysis is proposed in this paper.When embedding watermarking

the original audio is decomposed by Single-level discrete 1-Dwavelet transform

watermarking is embedded by mixing randomly to the approximation coefficient vector obtained

and the audio is Single-level reconstructed receiving audio having watermarking.When extracting watermarking

the audio is decomposed by Single-level discrete 1-Dwavelet transform

and watermarking is extracted by ICA based on kurtosis maximization.Emulated experiment results show that this method is robust and feasible.This method can protect the copyright of MRBT effectively on internet.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Aerial small object detection algorithm based on improved RT-DETR

Microservices anomaly detection based on the correlation of monitoring metrics

Simulation on the DC characteristics of double heterojunction p-GaN HEMT with AlN/GaN hybrid buffer layer

Research on the design of blockchain-based AI-generated content traceability framework

A feature-oriented context understanding and slice analysis network for tuberculosis detection

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰