由混沌映射驱动得到的伪随机二进制序列应确保有足够的比特安全性。
Sufficient bit security is necessary for pseudorandom binary sequences drived by chaotic maps.
用非线性随机信号分析方法研究了混沌序列的量化误差和扩散误差引起的有限精度效应。
By using nonlinear random signal analyzing technique, the chaotic finite precision effect due to quantifying error and diffusing error is studied.
利用混合光学双稳混沌序列的伪随机性和初值敏感性，提出一种用于数字水印中的水印图像置乱算法。
Using the sensitivity to the initial conditions and parameters of mixed-optical bistable chaotic sequence, we have a new scrambling algorithm about watermarking image.
混沌信号具有天然的随机性，可以作为序列密码应用于信息加密。
The chaotic signal, which possesses natural randomness, can be used for information encryption as sequence cipher.
给出了基于序列顺序置乱的信号白化算法：混沌序列乱序白化算法和伪随机序列乱序白化算法。
Present a whitening signal algorithm based on disordering sequence. One bases on chaos sequence, another bases on pseudo random sequence.
首先由随机函数生成得到任意的不相等的混沌序列，以此序列作镜像变换后对信息进行置换而得到加密文件。
A random unlikeness chaotic sequence is created with random function. Mirror image transforms with this chaotic sequence, then the information is transformed to secret-code files by this sequence.
对该混沌序列进行了随机性测试。
通过定义混沌序列中元素之间的邻接关系，提出了一种基于网络邻接图的方法来刻画此序列的随机性。
By defining adjacent relations among the components of a chaotic sequence, we introduce a method based on network adjacent graph to depict the randomness of this sequence.
结果表明，河流溶解氧时间序列具有混沌特性，其外在表现为貌似随机的无规则特点；
The results show that dissolved oxygen time series of river basin has chaotic property.
基于混沌的视频信息隐藏算法，利用混沌序列的类随机性对嵌入信息进行置乱，以提高保密性。
The video information hiding algorithm based on chaos USES the analogy randomicity of chaos sequence to disturb the hiding information, which improves the secrecy.
实验表明混沌密码序列对随机性的测试的好坏存在不确定性，因此混沌序列应用到序列密码之前必须对序列进行随机性检测。
The experimentation shows indeterminacy of chaos's time sequence in experiments of randomicity check. So the randomicity of chaos's time sequence must be checked before it become keying sequence.
通过将混沌伪随机序列看成一个符号序列，提出了用符号动力学的方法来分析混沌伪随机序列的复杂度。
By considering a chaotic pseudo_random sequence as a symbolic sequence, we present a symbolic dynamics approach for the complexity analysis of chaotic pseudo_random sequences.
混沌序列由于具有很好的伪随机性且具有对初值和参数的敏感性特性，成为处理秘密信息的一个重要的研究方向。
Chaotic sequence has become one of important research direction in treat secret information because of its dummy randomness and sensibility to initial value and parameter.
分析了已有的序列线性复杂度分析方法，提出了用近似熵算法计算混沌运动的测度熵，作为衡量混沌伪随机序列复杂度的标准。
In this paper, the conventional pseudo-random sequence linear complexity is discussed, and a new criterion is proposed, based on the approximate entropy.
但是混沌系统是由非线性动力机制决定的确定性系统，貌似随机运动的混沌系统内部存在确定性规律，所以混沌时间序列是短期可预测的。
But chaos is a deterministic system determined by the nonlinear dynamical mechanism. There is a deterministic rule in the interior of the chaotic system which is seemed as a random move.
基于混沌学原理产生随机数，不仅随机数序列内部有随机性，而且随机数序列本身也具有随机性。
The random sequence is created basing on the Chaos principle. There is not only randomness inside the random sequence but also in random sequence itself.
混沌流密码加密方案：利用时空混沌系统产生伪随机性能良好的二值序列，并通过了一系列性能检测，实现了对图像和语音文件的流密码加密。
Chaotic stream cipher scheme: good binary sequences are generated using chaotic system, and after performance tests the sequences are applied to encrypt images and speech signals.
为克服目前基于混沌序列的置乱算法安全性不够高，密钥空间小的缺点，本文提出了一种新的双随机置乱算法。
In this paper, we present a novel encryption algorithm for MPEG audio data including all three layers that is based on a random permutation scheme.
为产生新的数字混沌伪随机序列，构造了一个新的混沌系统。
In order to generate new chaotic pseudo-random sequences, a new chaotic system was constructed.
而混沌系统具有对初始条件敏感性、随机性、相关性等优良的密码学性能，能够产生性能良好的伪随机序列，所以很适合于序列加密。
Chaotic systems are sensitive to the initial condition, randomness and correlativity. They can produce good pseudo - stochastic sequences. Therefore, these systems are suitable to the stream cipher.
小波变换具有时频局部化特性和与人眼视觉特性相符的变换机制，而混沌序列具有确定、似随机、不可预测等特性。
The discrete wavelet transform(DWT) has a localized characteristic in time-frequency domain and a transform mechanism that accords with human visual system.
小波变换具有时频局部化特性和与人眼视觉特性相符的变换机制，而混沌序列具有确定、似随机、不可预测等特性。
The discrete wavelet transform(DWT) has a localized characteristic in time-frequency domain and a transform mechanism that accords with human visual system.
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