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基于神经网络的扩展回声隐藏算法
引用本文:王慧琴,修可山,姚钟涵.基于神经网络的扩展回声隐藏算法[J].计算机工程,2006,32(15):31-33.
作者姓名:王慧琴  修可山  姚钟涵
作者单位:1. 西安建筑科技大学信息与控制工程学院,西安,710055
2. 西安交通大学电信学院,西安,710049
基金项目:陕西省自然科学基金;陕西省教育厅资助项目
摘    要:提出了一种神经网络自适应扩展回声隐藏算法。利用PN序列将音频信号的单回声内核进行扩展后作为水印信号,提高了水印算法的安全性。该算法利用了神经网络的非线性映射能力确定扩展回声内核的幅值,从而避免了复杂的心理声学模型的计算过程,实现了水印嵌入的强度的自适应。仿真实验证明了该算法的有效性和可靠性。

关 键 词:音频  数字水印  神经网络  自适应  心理声学模型
文章编号:1000-3428(2006)15-0030-03
收稿时间:01 17 2006 12:00AM
修稿时间:2006-01-17

Spread Echo Hiding Algorithm Based on Neural Network
WANG Huiqin,XIU Keshan,YAO Zhonghan.Spread Echo Hiding Algorithm Based on Neural Network[J].Computer Engineering,2006,32(15):31-33.
Authors:WANG Huiqin  XIU Keshan  YAO Zhonghan
Affiliation:1. School of Information and Control Engineering, Xi’an University of Architecture &; Technology, Xi’an 710055;
2. School of Electronic &; Information Engineering, Xi’an Jiaotong University, Xi’an 710049
Abstract:This paper proposes a neural network self-adaptive digital audio watermarking algorithm based on time-spread echo hiding algorithm.The single echo kernel of audio signal is spread by pseudo noise(PN) sequence and taken as watermark signal.Therefore,the algorithm achieves higher robustness and secrecy merits.By exploiting the abilities of neural networks and considering the characteristics of human audio system(HAS),a just noticeable differences(JDN) threshold controller is designed to ensure the strength of the embedded data adapting to the host audio itself entirely.The simulation experiment results show that the algorithm is robust to common digital audio processing methods and the quality of the audio is guaranteed.
Keywords:Audio  Digital watermarking  Neural network  Self-adaptive  Human audio system(HAS)  
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