By researching the false maximum wavelet coefficient points, this paper proposes an advanced algorithm in the basis of optimum scale and a new peak-searching method.
提出了一种针对面向对象分析方法中多尺度分割的最优分割尺度计算模型，并进行了影像分割实验。
Pressure data were analyzed by wavelet transform in wavelet domain. Frequency band energy spectrum and intensity index of ISW based on wavelet coefficient were obtained.
通过基于子波的分析方法，对压力数据进行了分析，获得了基于子波系数的频带能量谱和冲击波强度指数。
The noise-extracted signal which is reconstructed by the revised wavelet coefficient could clearly reflect the time difference between incidence wave and reflection wave.
经过修正后的小波系数重构得到的信号图能够消去大部分噪声，清晰地反映入射波和反射波之间的时差。
By conjoining the wavelet coefficient absolute value with the local area energy, a new image fusion algorithm is proposed based on the techniques of wavelet decomposition.
在小波分解的基础上，将小波系数绝对值与局部能量二个激活度量相结合，提出了一种新的小波图像融合算法。
The wavelet coefficient curves of temperature and precipitation on different time scales reveal that the long periodical variation trend is quite different from the short.
气温和降水在不同时间尺度上的小波系数变化曲线图揭示了气候的长期和短期变化趋势有很大不同。
This paper mainly study how to realize wavelet coefficient layered coding and transmission and image data progressive transmission using the correlation of the transformed image.
本文主要研究如何利用图像小波变换后系数间的相关性实现小波系数的分级编码和传输，从而实现图像的渐近传输技术。
The wavelet coefficient of the feature band was regarded as the feature parameter of the Acousto Ultrasonic signal and it can distinguish defects from the adhesively bonded joints.
以此特征频带的小波变换系数作为声-超声信号特征参数，可分辨出胶接区域的缺陷信号。
The multi-scale coherent eddy structure in turbulent boundary layer is detected through taking multi-scale wavelet coefficient of stream velocity component signal as characteristic quantity.
用流向速度分量信号的多尺度子波系数作为特征量检测平板湍流边界层多尺度相干结构。
Wavelet frame redundancy leads to robustness, that wavelet transform coefficient obtained in low accuracy can be used to reconstruct original signal in comparative high accuracy.
小波框架的冗余可导致鲁棒性，冗余使得低精度下获得的小波系数能在相对高的精度下重建原始信号。
The time domain field distribution on the surface of Huygens' box was decomposed using wavelet, and the quantified coefficient of the wavelet decomposition was saved.
利用小波分解对惠更斯表面的时域切向场分布进行分解，存储经过阈值量化后的小波系数达到压缩编码的目的。
The location result is not influenced by fault resistance and inception Angle when wavelet transform coefficient of aerial mode current is used in fault location.
利用线模电流的小波变换系数进行测距，不仅不受故障电阻的影响，也不受故障起始角的影响。
Frequency of modulated signals is extracted from frequency-modulated signals by using the relationship between the modulus of wavelet transform coefficient and the singular exponent.
利用小波变换系数的模值与信号奇异性指数之间的关系，从调频信号中提取出调制信号的频率。
The fetal heart rate can be extracted from the returning signal of ultrasound by way of the connection between the modulus of the wavelet transform coefficient and the singular exponent.
本文利用小波变换系数的模的平方值与信号奇异性指数之间的关系，从超声回波信号中提取出了胎儿的心率。
It proves that the improved lifting coefficient can add to the vanishing moment of the wavelet function in a constructed way, and the adding means to a more centralized energy property.
文章构造性的证明了改进提升系数能增加小波函数的消失矩，而消失矩的增加意味着能获得更好的能量集中特性。
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。
A new wavelet image compression algorithm was proposed based on morphological dilation and the positional information of the important coefficient couplet belt.
提出了一种基于形态膨胀运算的对子带间重要系数位置信息进行联合编码的新型小波图像压缩编码算法。
According to local gradient information, wavelet low frequency coefficient obtained from source image is selected to compose respective low frequency coefficient of the fused image.
根据局部梯度信息对源图像的小波低频系数进行选择，获取融合图像的对应低频系数。
Part two: This paper analyzed the degree of predicting precision affected by decomposing scale coefficient of wavelet cycle model and various kinds of reservoir inflow runoff series.
第二部分，本文分析了小波周期模型的分解尺度数和各种不同入库径流序列对模型预测精度的影响程度。
While efficient algorithms exist for coding the transform coefficient magnitudes, current wavelet image coding algorithms are not as efficient at coding the sign of the transform coefficients.
虽然当前对小波变换系数幅值进行编码已有了比较高效的算法，但是现行的小波编码算法对小波变换系数符号的编码并非如同对幅值的编码那么有效。
Wavelet transform was utilized to get coefficients of each scale. Based the coefficient matrix, principal component analysis model was established to diagnose sensor fault.
利用小波变换得到传感器信号在各个尺度上的系数，然后根据尺度系数矩阵建立主元分析模型进行传感器故障诊断。
The approximation coefficient from wavelet decomposition includes much information relating with device reliability and is more sensitive to the change of device performance.
小波分解后的概貌信息，具有更多的可靠性细节信息，对器件性能的改变更敏感。
The self-adaptive learning rate and momentum coefficient are used to avoid the local minimum point in the training process of wavelet neural network.
小波神经网络的训练采用自适应调整学习率及动量系数的方法，以避免陷入局部极小值。
The differential coefficient of smooth function was taken as a mother wavelet for researching the sensitivity segment of inflexion of pipeline leakage signal.
以光滑函数的一阶导数作为小波母函数 ，研究了管道泄漏特征信号拐点区间的敏感性 ，突出小波变换系数的局部极值性。
The features extract method of MCSF based on wavelet multi-scale transform is that the image feature of coefficient sub-frequency is decomposed with 3 layer of wavelet multi-scale transform.
基于小波多尺度分解子带主成份的特征提取法，利用小波多尺度分解子带系数图像特征。
In order to remove this phenomenon, we consider the cycle spinning method based on threshold wavelet and then use the coefficient magnify to remove the signal noise.
为了去除这种现象，考虑在阈值法的基础上对信号进行循环平移，然后再对平移后阈值上的系数进行放大，对信号进行消噪处理。
A method of image magnification with ENO interpolation which based on wavelet transform is presented, to enhance the coefficient of the high frequency subband.
提出了基于小波变换的ENO插值图像放大方法，对插值后的图像做小波变换，对于高频系数进行修正，经过重构保持放大图像的清晰度。
Based on different properties of the coefficient modulus of the signal in different scale wavelet transform, conjunction the best estimate of gradient algorithm an edge detecting method is proposed.
基于信号在不同尺度下小波变换系数模不同的变化特征，结合最优梯度估计算法提出了一种边缘检测方法。
The statistic of wavelet transform coefficient algorithm can solve the periodic noise, high-energy noise and some non-Gauss noise simply and effectively;
统计算法在解决周期信号、高能噪声和高斯信号方面有独特之处，能简单有效提取以上噪声的特征；
The statistic of wavelet transform coefficient algorithm can solve the periodic noise, high-energy noise and some non-Gauss noise simply and effectively;
统计算法在解决周期信号、高能噪声和高斯信号方面有独特之处，能简单有效提取以上噪声的特征；
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