In this paper we put forward a method to estimate the audio masking threshold.
本文提出了一种估计听觉掩蔽门限的算法。
Psychoacoustics of the human hearing is explicitly included into the algorithm through modifying the MP metric by the time-varying masking threshold of the input signal.
通过计算时变输入信号的心理声学参数，用信号的掩蔽值对匹配跟踪矩阵进行加权。
Watermarking embedding algorithm based on auditory masking is proposed in this paper, which embeds watermarking based on masking threshold in low-band coefficients of DCT transformation.
文中提出一种基于听觉掩蔽效应的音频数字水印算法，根据掩蔽阈值在DCT低频系数中嵌入水印。
Calculating masking threshold of every critical band by auditory masking model, then quantization steps are controlled by masking threshold and value of audio carrier of the embedding points.
依据听觉掩蔽模型计算每个临界频带的掩蔽阈值，再根据水印嵌入点处的掩蔽阈值和音频载体值的大小共同控制量化步长。
Calculating masking threshold of every critical band by auditory masking model, then quantization steps are controlled by masking threshold and value of audio carrier of the embedding points.
依据听觉掩蔽模型计算每个临界频带的掩蔽阈值，再根据水印嵌入点处的掩蔽阈值和音频载体值的大小共同控制量化步长。
应用推荐