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audio相关的网络例句

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与 audio 相关的网络例句 [注:此内容来源于网络,仅供参考]

Some of her best known quotes in both written and audio form.

她的一些最知名的报价在书面和音频的形式。

Aiming at the problem which is the robustness and inaudibility of the digital audio watermark is limited for each other, so an optimization watermarking method based on Genetic Algorithm which to compute the best energy quickly is proposed in this paper.

2针对数字音频水印的鲁棒性和不可感知性两者之间是相互制约问题,提出一种采用遗传算法(Genetic Algorithms,GA)来解决最优嵌入能量的优化水印方案。

Experimental results show the algorithm is robust to common operations on digital audio signal,such as add noise,lossy compression,re-quantify etc,and inaudibility is satisfaction.

实验表明该水印算法对于叠加噪声,有损压缩,重量化等常见的数字信号处理具有较好的鲁棒性,同时,水印系统具有很好的不可听性。

Experimental results show that the two schemes can preserve inaudibility and they are robust enough to against the different signal processing operations. In addition, very large watermarking information can be embedded into the original audio signal. Furthermore, it can resist the cropping and MP3 compression attacks.

仿真实验结果表明,两种算法都具有较强的鲁棒性和不可感知性,水印嵌入容量大,提取水印时不需要原始音频信号的参与,并且对裁剪、时间伸缩等攻击具有较强的稳健性,是可行的数字音频水印算法。

So, a novel machine learning based digital blind audio watermarking scheme in the wavelet domain is proposed in this paper, which could find a reasonable balance between the robustness and inaudibility of the watermark, then have the better robustness and inaudibility.

本文正是将小波变换应用到音频信号的数字水印系统中,提出一种小波域上基于机器学习方法的新的数字音频盲水印算法,使其能在水印的鲁棒性和不可感知性之间寻找到合理的平衡点,从而具有更良好透明性和鲁棒性,并在音频作品的版权保护中能有一定的实用性。

Thefrequency analysis of the psychoacoustic model can give the inaudible, redundanelements of audio. In this paPer we employ it to gUarantee the inaudibility of theembedded watermark.

心理声学模型的时频域分析主要用于音频数据的压缩编码,这里主要考虑将其用于音频水印算法中去,以便从理论的角度来考虑嵌入水印的不可感知性。

A novel algorithm for audio watermarking based on quantizing DCT domain is proposed,the authors design watermarking algorithm according to DC and AC DCT coefficients play different influence in robustness and inaudibility to tradeoff robustness and inaudibility better.

提出一种新的基于量化DCT域的音频水印算法,根据DC分量和AC分量在水印的鲁棒性和不可听性中起着不同的影响来设计水印算法,使水印的鲁棒性和不可听性得到更好的权衡。

Because the genetic algorithms could search the optimization of objective function randomly, which via the evolution of groups, our work is based on the embedding/detecting way of "DWT-Based Audio Watermarking Using Support Vector Regression and Subsampling". And this method provides a preliminary discussion on the application of GA, which searching the individual with the highest fitness of attack-resistance in the aggregate of the optimal embedding strength. As an optimization solution of obtaining the optimal embedding strength, it could achieve an adaptive policy, and find a reasonable balance between the robustness and inaudibility of the watermark, just for the better robustness and inaudibility in the algorithm.

遗传算法是通过群体进化来随机搜索目标函数的最优化问题,对于前述基于支持向量回归机的小波域数字音频盲水印算法,进一步地探讨采用遗传算在嵌入强度集合中搜索对抗攻击能力适应度较高的个体,从而得到最佳嵌入强度的一个优化方案,以实现自适应策略,也使本算法能在水印的鲁棒性和不可感知性之间寻找到合理的平衡点,从而具有更良好透明性和鲁棒性。

But realization of inaudibility for audios is much more difficult than realizing invisibility for images, the reason for this is that audio signals are represented by much less samples per time interval compared with images and video.

但是由于人耳听觉系统(Human Auditory System,简称HAS)比人眼视觉系统(Human Visual System,简称HVS)灵敏、以及音频作品的采样点数较少等缘故,使得音频数字水印实现不可感知性比较困难。

Main columns include:Audio and Video Device,White Goods, Digital TV,Mobile Phone,Digital Product,Channel,Evaluations, etc.

主要栏目:视听,白电,数字电视,手机,数码,渠道,评测等。

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