An Audio Watermarking of Wavelet Domain Based on BP Neural Network
This paper proposes an audio watermarking algorithm of wavelet domain based on BP neural network. We introduce BP neural network into audio watermarking systems, embed watermark in the low-frequency, important components of wavelet coefficients. In order to improve the efficiency and accuracy of BP network training, design a high-efficient, high-precision, fast training algorithm of BP neural network, which improve the performance of the watermarking system effectively. Experimental results show that the capacity of the proposed scheme is relatively high-transparent and high-robust, the improved fast training BP algorithm converges fast, reaches high accuracy.
audio watermarking wavelet coefficients neural network
Liang Chen Huan Hao Guohong Zheng
Department of Electronic Information Engineering ICE, PLAUST Nanjing, China Department of Electronic Information Engineering ICE, PLAUSTNanjing, China
国际会议
南京
英文
1-5
2011-11-09(万方平台首次上网日期,不代表论文的发表时间)