SPREAD SPECTRUM WATERMARK DETECTION IN DRT-DOMAIN

来源 :电子科学学刊：英文版 | 被引量 : 0次 | 上传用户：ttlme

【摘要】

：

The traditional correlation-based detector is optimal only for Gaussian data, but the Laplacian Probability Density Function (PDF) is more appropriate to model

【作者】

：

Xing Guihua Yu Shenglin

【机构】

：

DepartmentofAutomaticEngineering

【出处】

：

电子科学学刊：英文版

【发表日期】

：

2007年6期

【关键词】

：

语音信号处理技术设计方案通信技术 Ridgelet transform Digital watermarking Laplacian model S

【基金项目】

：

Supported by the National Natural Science Foundation of China （No.10371055）.

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The traditional correlation-based detector is optimal only for Gaussian data, but the Laplacian Probability Density Function (PDF) is more appropriate to model the coefficients in the Discrete Ridgelet Transform (DRT) domain. An additive maximum-likelihoo

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SPREAD SPECTRUM WATERMARK DETECTION IN DRT-DOMAIN

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