分数傅里叶域上宽间隔跳变的透明语音信息隐藏模型

语音信息隐藏一直是信息安全领域内研究的热点和难点。本文基于掩蔽效应和扩频码理论,提出了一种新的基于跳变分数傅里叶变换的高透明语音信息隐藏模型,首先从时频域掩蔽出发,提出了分数傅里叶变换域上的隐秘信息嵌入算法,并提出了在分数相关倒谱域上的隐秘信息提取算法。同时又提出了一种宽间隔多进制伪随机序列来控制分数阶因子α。理论分析和实验结果表明,该模型具有很强的透明性,在时域、频域和倒谱域都无法发现隐秘信息的存在,同时能够抗信道噪声的影响。研究表明该模型在语音信息隐藏领域具有较高的应用价值和广阔的应用前景。 

The speech information hiding model of transparency in Fractional Fourier domain based on the wide interval of hopping

Speech information hiding has long been a hot point and also a problem in domain of information security. In this paper, a new speech information hiding model based on theories of masking effect and spread spectrum codes is introduced, which is highly transparent using hopping fractional fourier transform. Introduction of this model is started with two algorithms derived from frequency masking—a confidential information embedding algorithm in frational fourier transform domain and an extracting algorithm in frational correlation cepstrum domain. Another wide interval multi-system pseudo-random sequence is also put forward in order to control the fractional order factors. According to the theoretical analysis and experimental result, this model is highly transparent that confidential information can not be found in time domain, frequency domain or even cepstrum domain. also, this model performs well in anti-noise. Our study suggests that this model has high value and good prospect in application.