The wavelet entropy is defined for analyzing the complexity of the signals.
结合小波包熵分析脑电在不同大脑功能状态下的脑电复杂程度。
The contrast between wavelet transform maximal modulus and wavelet entropy shows that the latter is a better approach to detect transient signal accurately and timely.
利用小波变换模极大值和小波熵测度分别对其进行检测，对比表明，小波熵测度能更准确、实时地检测到各种暂态信号。
The fast wavelet entropy technique for image indexing to reduce the complexity of the wavelet histogram method is suggested which can improve the retrieval performance.
提出了快速小波熵的图像检索技术以减少小波直方图技术的计算复杂性并提高了检索速度。
Wavelet entropy analysis shows that after sleep deprivation, compared with natural sleep, the 256 points WE of spontaneous EEG and the 32 points average WE of ERP evidently decreased.
小波熵分析结果表明，与正常睡眠组比较，睡眠剥夺组自发脑电的256点小波熵和事件相关电位的32点小波熵均值都显著降低。
The maximum entropy deconvolution is performed under the premise that seismic wavelet is of minimum phase, so the forward prediction error is equivalent to reflection coefficient series.
最大熵反褶积是在地震子波为最小相位条件下进行的，其向前预测误差就等于反射系数序列。
Based on the introduction of wavelet packet and characteristic entropy, a new method to diagnosis fault for high voltage circuit breakers is presented, and its steps and analysis are also introduced.
在详细介绍小波包与特征熵的基础上，将二者结合提出了一种诊断高压断路器机械故障的新方法，并给出了切实可行的诊断步骤和分析。
Based on the theory of wavelet analysis and information entropy, the wavelet multi-scale entropy that describes the ordering degree in local data has been proposed in this paper.
文中以小波分析和信息熵理论为基础，提出了能够反映局部数据信息有序度大小的小波多尺度熵信息提取方法。
In order to enlarge the difference of fault line and normal line, the complex wavelet pocket band entropy of all sub-frequency bands in feature band is made product.
为了扩大故障线路与正常线路的差别，对特征频带内各子频带的频带熵作积处理，得到了复小波包特征频带复合熵线路特征量化准则。
The project is based on wavelet transform image compression, and implements wavelet transform, subband coding, The quantization and entropy encoding processes provide data compression;
该方案基于小波变换的场内图像压缩技术，采用小波变换、子带编码、自适应量化和熵编码来对图像数据进行压缩；
The paper reports a kind of new compression method of ECG signal. The method is realized by means of wavelet packets transform based on best basis performed by Shanon Weaker entropy criterion.
给出一种新的心电图压缩方法，该方法是在小波库中通过以信息熵作为代价函数寻找最优基，实现心电图压缩。
They use entropy and spatial frequency to evaluate the fusion result of their method and perform a comparison with the Laplacian based and the wavelet based image fusion methods.
最后利用熵和空间频率对该方法的融合性能进行了评估分析，并与基于拉普拉斯变换和小波变换的图像融合方法进行了比较。
Combining information entropy, wavelet analysis with neural network, an adaptive control system and an adaptive control algorithm are presented for machining process based on wavelet neural network.
把信息熵、小波分析和神经网络相结合，提出了基于小波神经网络的加工过程自适应控制系统度其自适应拉制算法。
A new method to diagnose faults for high voltage circuit breakers is presented in the paper based on the introduction of wavelet packet and characteristic entropy.
在详细介绍小波包与特征熵的基础上，将二者结合提出了一种诊断高压断路器机械故障的新方法，并给出了切实可行的诊断步骤和分析。
A new dynamic detection method for roll bearing faults was proposed based on wavelet packet and cross entropy from the angles of information differences of detection signals.
将小波包变换和迭代交叉信息熵有机结合，从检测信号信息量差异性的角度出发，提出一种设备故障动态检测的新方法。
The L F signals are transformed by entropy based on wavelet packet algorithms for best basis selection, and the results are displayed in time- frequency space namely phase plane.
该方法采用基于熵的小波包最佳基选取准则，对局部损伤信号进行自适应小波包分解，将分解结果显示于时—频空间即相平面上。
Objective parameters of evaluating the fusion performance are provided via entropy and cross entropy. Comparisons of performance of Brushlet-based and wavelet-based fusion methods are provided.
对普通图像、航拍图像和医学图像分别进行融合操作，并将融合结果与已知图像的熵和交叉熵作为客观评价指标，与相应小波融合方法进行了比较。
Firstly, the best wavelet basis selection was conducted via message entropy function; then the gas load was decomposed to low frequency signal and high frequency signal by two times through it.
首先用信息熵函数最小选择最优小波基，然后用其对燃气负荷进行二层分解得到负荷的低频信号和高频信号。
This paper proposes an image compression method using perceivable entropy coding based on wavelet transformation. First, an image is decomposed multicesolutionally by wavelet transformation;
提出了一种基于视觉特性的子波变换图象量化编码方法．这种方法首先通过子波变换将图象进行多分辩率分解；
Local structural entropy measure in frequency division is put forward to detect local discontinuities of seismic data, by the virtue of the instantaneous attributes based on wavelet transform.
本文基于小波变换具有多尺度多分辨率分析的优点，提出了在特定的小波变换分频瞬时属性上，利用局部结构熵算法来检测地震数据的局部不连续性。
In order to avoid misjudgement in all kinds of fault condition, a criterion is defined that the maximum of complex wavelet pocket band composite entropy divisions the secondary maximum of that.
为了有效避免各种情况下的选线误判，将所有线路的频带复合熵最大值与次最大值之比作为选线依据。
In order to avoid misjudgement in all kinds of fault condition, a criterion is defined that the maximum of complex wavelet pocket band composite entropy divisions the secondary maximum of that.
为了有效避免各种情况下的选线误判，将所有线路的频带复合熵最大值与次最大值之比作为选线依据。
应用推荐