横掠管束周期性充分发展对流换热的混沌分析

本文利用混沌理论分析了横掠管束周期性充分发展对流换热的非稳定性问题,即通过速度U的时间序列的重构相空间计算出关联维数D2,并通过时间序列分析了该非线性动力系统的功率谱特性。分析结果表明,本文所研究的横掠管束周期性充分发展对流换热系统在所给出的控制参数Re=937.7下出现的非稳定性问题属于混沌现象。系统的整体状态可用奇怪吸引子来描述,当延迟时间选择为5,该时间序列的重构相空间的嵌入维数增至5时,该吸引子的分维数趋于定值1.63。     

基于小波变换的混沌信号相空间重构研究

应用小波变换和非线性动力学方法研究了混沌信号在相空间中的行为，指出混沌时间序 列的小波变换实质上是在重构的相空间中，混沌吸引子向小波滤波器向量所张的空间中的投 影，与Packard等人提出的相空间重构方法本质上是一致的.实验结果表明，混沌信号经过 小波变换后，吸引子轨迹与原有轨迹具有相似的结构，同时，系统的关联维数、Kolmogorov 熵等非线性不变量仍然得到保留.这些结果表明，利用小波变换研究混沌信号是有效的. 关键词： 小波变换 相空间重构 混沌信号 脑电信号     

基于径向基神经网络预测的混沌时间序列嵌入维数估计方法

根据Takens定理,研究了混沌时间序列相空间重构嵌入维数的选取问题.提出了基于径向基函数神经网络预测模型性能的嵌入维数估计方法,即根据嵌入维数与混沌时间序列预测模型性能的变化关系来确定嵌入维数.通过对几种典型混沌动力学系统的数值验证,结果表明该方法能够确定出合适的相空间重构嵌入维数. 关键词： 混沌 相空间重构 嵌入维数 预测     

混沌时间序列重构相空间参数选取研究

基于重构相空间的延迟时间和嵌入维数这两个参数的选取不相关的观点,提出用互信息函数法确定延迟时间后,用CAO方法来确定嵌入维数的新思路.通过对几种典型的混沌动力学系统的数值验证,结果表明该方案能够确定出相空间重构的有效延迟时间和最佳嵌入维数.该方法能够从时间序列中有效地重构原系统的相空间,是混沌信号识别的一种有效途径.     

混沌时序相空间重构参数确定的信息论方法

根据信息论基本原理，研究了混沌时间序列相空间重构参数延迟时间和嵌入维数的选取.提出了用符号分析的方法计算互信息函数，确定出延迟时间，在此基础上，提出了一种估计嵌入维数的信息论方法，即根据重构向量条件熵随向量维数的变化关系来确定嵌入维数，通过对几种典型混沌动力学系统的数值验证，结果表明该方法能够确定出合适的相空间重构嵌入维数. 关键词： 混沌 相空间重构 互信息 条件熵 符号分析     

一种基于非完整二维相空间分量置换的混沌检测方法

由于混沌时间序列和随机过程具有很多类似的性质, 因而在实际中很难将两者区分开来. 混沌信号检测与识别是混沌时间序列分析中一个重要的课题. 混沌信号是由确定性的混沌映射或混沌系统产生的, 相比于高斯白噪声序列, 其在非完整的二维相空间中表现出更加丰富的结构特性. 本文通过研究混沌时间序列和高斯白噪声序列在非完整二维相空间中的分布特性, 利用混沌信号的非线性动力学特性, 提出了一种基于非完整二维相空间分量置换的混沌信号检测方法. 该方法首先由接收序列得到非完整的二维相空间, 基于第一维分量大小关系实现对第二维分量的置换与分组, 进一步求得F检验统计量. 然后利用混沌系统的局部特性, 获取非完整二维相空间的动力学结构信息, 实现对混沌序列的有效检测. 在高斯白噪声条件下对多种混沌信号进行了信号检测的数值仿真. 仿真结果表明: 相比置换熵检测, 本文所提算法所需数据量小、计算简单以及具有更低的时间复杂度, 同时对噪声具有更好的鲁棒性.     

输油管道压力时间序列混沌特性研究

输油管道压力波动的内在动态特征,采用非线性的分析方法探讨了实测输油管道压力波动中存在混沌动态特性的可能性. 以6个典型的输油管道压力实测数据集为研究对象,重构相空间、求得了分形维数和Lyapunov指数谱、验证了数据的平稳性和非线性. 通过对所得结果的分析,从理论上证明了输油管道压力信号具有严格混沌动态特性. 为基于输油管道压力时间序列的研究提供了混沌理论基础. 关键词： 压力时间序列 Lyapunov指数 分形维数 混沌     

基于条件熵扩维的多变量混沌时间序列相空间重构

提出一种多变量混沌时间序列相空间重构的条件熵扩维方法.首先使用互信息法求解每个变量的时间延迟,其次按条件熵最大原则逐步扩展相空间的嵌入维数,使得重构坐标从低维到高维的转换保持较强的独立性,最终的重构相空间具有较低的冗余度,为多变量时间序列的预测构造了有效的模型输入向量.通过对几个经典多变量混沌时间序列进行数值实验,结果表明该方法比单变量预测和已有多变量预测方法具有更好的预测效果,说明了该重构方法的有效性. 关键词： 多变量混沌时间序列 相空间重构 条件熵 神经网络预测     

一种基于三阶Volterra滤波器的混沌时间序列自适应预测方法

基于Takens的相空间延迟坐标重构,研究了用于混沌信号预测的三阶Volterra滤波器的一种乘积耦合近似实现结构,并应用于典型的低维混沌时间序列和具有高维混沌特性的EEG信号的预测.数值研究表明:这种滤波器结构对于低维混沌时间序列的预测精度可以比二阶Volterra滤波器提高103倍,而且能够较好地对一些具有高维混沌特性的EEG信号进行预测 关键词： 混沌 非线性自适应预测 三阶Volterra滤波器 electroencephalography信号     

短时交通流复杂动力学特性分析及预测

为揭示短时交通流的内在动态特性,利用非线性方法对交通流混沌特性进行识别,为短时交通流的预测提供基础.基于混沌理论对交通流时间序列进行相空间重构,利用C-C算法计算时间延迟和嵌入维数,采用Grassberger-Procaccia算法计算吸引子关联维数,通过改进小数据量法计算最大Lyapunov指数来判别交通流时间序列的混沌特性.针对局域自适应预测方法在交通流多步预测中预测器系数无法调节的问题,提出了交通流多步自适应预测方法.通过实测数据计算,结果表明:2,4和5 min三种统计尺度的交通流时间序列均具有混沌特性;改进的小数据量法能够准确地计算出最大Lyapunov指数;构建的交通流多步自适应预测模型能够有效地预测交通流量的变化.为智能交通系统诱导和控制提供了依据.     

Discrimination Functions: Can They Be Used to Classify Singing Voices?

Researchers long have searched for invariant acoustic features that can be used to identify singing voice categories or even individual singers. Few researchers have examined how listeners perceive singing voice categories or individual voices. Timbre, the most studied perceptual dimension of the singing voice, is generally believed to vary systematically between singing voice categories but is often assumed to be invariant with an individual singer. To test this assumption, 2 mezzo-sopranos and 2 sopranos were recorded singing the vowel /a/ on the pitches A3, C4, G4, B4, F5, and A5. Trials of three stimuli were constructed. Two of the three stimuli in each trial were produced by the same singer at two different pitches (X₁ and X₂), while the third stimulus was produced by a different singer (Y). Three X₁X₂ conditions were created: (1) G4, B4; (2) C4, F5; and (3) A3, A5. For each singer and each condition, Y was varied across the three remaining singers and across all six pitches. Experienced and inexperienced listeners were asked to identify which stimulus was produced by the “odd” person. The ability to correctly choose the odd person varied greatly depending on pitch factors, suggesting that the traditional concept of an invariant timbre associated with a singer is inaccurate and that vocal timbre must be conceptualized in terms of transformations in perceived quality that occur across an individual singer's range and/or registers.     

Research on the chaos recognition method based on differential entropy

Phase space reconstruction is the first step to recognizing the chaos from observed time series. On the basis of differential entropy, this paper introduces an efficient method to estimate the embedding dimension and the time delay simultaneously. The differential entropy is used to characterize the disorder degree of the reconstructed attractor. The minimum value of the differential entropy corresponds to the optimum set of the reconstructed parameters. Simulated experiments show that the original phase space can be effectively reconstructed from time series, and the accuracy of the invariants in phase space reconstruction is greatly improved. It provides a new method for the identification of chaotic signals from time series.     

Modulated amplitude waves and defect formation in the one-dimensional complex Ginzburg–Landau equation

The transition from phase chaos to defect chaos in the complex Ginzburg–Landau equation (CGLE) is related to saddle-node bifurcations of modulated amplitude waves (MAWs). First, the spatial period P of MAWs is shown to be limited by a maximum P_SN which depends on the CGLE coefficients; MAW-like structures with period larger than P_SN evolve to defects. Second, slowly evolving near-MAWs with average phase gradients ν≈0 and various periods occur naturally in phase chaotic states of the CGLE. As a measure for these periods, we study the distributions of spacings p between neighbouring peaks of the phase gradient. A systematic comparison of p and P_SN as a function of coefficients of the CGLE shows that defects are generated at locations where p becomes larger than P_SN. In other words, MAWs with period P_SN represent “critical nuclei” for the formation of defects in phase chaos and may trigger the transition to defect chaos. Since rare events where p becomes sufficiently large to lead to defect formation may only occur after a long transient, the coefficients where the transition to defect chaos seems to occur depend on system size and integration time. We conjecture that in the regime where the maximum period P_SN has diverged, phase chaos persists in the thermodynamic limit.     

Effects of vocal training on the acoustic parameters of the singing voice

Vocal training (VT) has, in part, been associated with the distinctions in the physiological, acoustic, and perceptual parameters found in singers' voices versus the voices of nonsingers. This study provides information on the changes in the singing voice as a function of VT over time. Fourteen college voice majors (12 females and 2 males; age range, 17–20 years) were recorded while singing, once a semester, for four consecutive semesters. Acoustic measures included fundamental frequency (F₀) and sound pressure level (SPL) of the 10% and 90% levels of the maximum phonational frequency range (MPFR), vibrato pulses per second, vibrato amplitude variation, and the presence of the singer's formant. Results indicated that VT had a significant effect on the MPFR. F₀ and SPL of the 90% level of the MPFR and the 90–10% range increased significantly as VT progressed. However, no vibrato or singers' formant differences were detected as a function of training. This longitudinal study not only validates previous cross-sectional research, ie, that VT has a significant effect on the singing voice, but also it demonstrates that these effects can be acoustically detected by the fourth semester of college vocal training.     

基于多变量混沌时间序列的煤矿斜井TBM施工动态风险预测

在全面分析煤矿长斜井TBM(盾构)施工动态风险特点的基础上,利用多变量混沌时间序列预测方法对其进行预测.利用主成分分析法,确定影响煤矿长斜井TBM施工风险的主要成分.对煤矿长斜井TBM施工风险多变量时间序列进行相空间的重构,确定时间延迟τi和嵌入维数mi,采用小数据量法计算煤矿长斜井TBM施工多变量风险时间序列的最大Lyapunov指数,证明了其具有混沌特性,提出了一阶局域法与双隐层神经网络的组合预测模型,该模型能够对多变量风险时间序列随时间的变化进行预测.仿真实验表明,该预测模型误差小于单变量时间序列的预测误差,具有较强的预测能力和较好的预测效果,可为煤矿长斜井TBM施工风险分析与评估提供一种新的途径.     

铁电晶体PbxBa1-xNb2O6和掺Li,Na的PbxBa1-xNb2O6的结构和电弹张量的测定

用提拉法从熔体中生长出Pb_0.37Ba_0.63Nb₂O₆和Pb_0.30Ba_0.533Na_0.306Li_0.028Nb₂O₆两种铁电单晶。用X射线衍射方法分析了两种单晶的结构,结果表明,室温时两种晶体都属于四方晶系点群4mm。测定晶格参数得PBN晶体的a=12.493?和c=3.98?;掺Li,Na的PBN晶体的a=12.493?和c=3.970?。测定了两种晶体全部各52个电弹张量的分量,结果表明PBN晶体具有优良的压电性,其中压电系数d₁₅=108×10^-12C/N。这种晶体很有希望用作与厚度切变模式有关的压电换能器材料。掺Li,Na的PBN晶体的介电常数显著降低,而铁电居里点有明显的提高。 关键词：     

ANALYSIS ON THE EMBEDDING CHARACTER OF TIME SERIES RECONSTRUCTION

A method is proposed to analyze embedding character of the reconstruction by calculating the ratio of two volumes in two reconstructed phase spaces. By this method the embedding dimension and the delay time are found. The R?ssler system is discussed as a special model.