Wavelet processing, in which wavelet estimation is essential, is an effective technique for improving the resolution of seismic data.
子波处理技术是提高地震资料分辨率的一种有效方法，其关键在于获得准确的子波估计。
The present method for noise reduction with wavelet transform is based on the thresholding method and threshold selection will depend on the estimation of the noise standard deviation.
目前的小波去噪绝大多数都是基于阈值决策的方法，而阈值选择往往都是建立在对信号小波变换系数的方差估计上。
Import magnitude reconstruct method to estimation wavelet base on high-order statistics after phase estimation theory, and perfecting the method of estimation wavelet though high-order statistics.
继高阶统计地震子波相位估计方法之后，将基于高阶统计的幅值重构方法也引入其中，从而完成了完整的高阶统计地震子波估计理论。
Assuming white noise reflectivity and minimum phase wavelet, the estimation of them simultaneously by linear inversion algorithm is studied.
在反射系数白噪、子波最小相位的假设下，研究基于线性反演的地震反射系数和子波同时估计问题。
The application of Wavelet in dynamic estimation and data fusion is introduced in this paper; an optimal real-time multiscale estimation and fusion algorithm for dynamic system is given.
介绍了小波变换在动态估计和数据融合中的应用，给出了一种实时的最优动态多尺度估计和融合算法。
The estimation of the seismic wavelet has a very important significance for improving the resolution and signal-to-noise of seismic data, and it is a long-term research in seismic data processing.
地震子波估计对于提高地震资料数据的分辨率、信噪比有着极为重要的意义，是国内外地震信号处理中长期研究的重要课题。
Wavelet Processing is an important technique used to improve the resolution of seismic data, in which the key is wavelet estimation.
子波处理是提高地震资料分辨的一个重要手段，该技术的关键是地震子波的估计。
The novel method of Estimation and extraction of seismic Wavelet-Higher order cumulants is presented in this thesis at first.
本文首先引出地震子波估计和外推的最新方法—高阶累积量法。
This paper makes a deep insight into two problems of object-based fine granular scalable video coding in the wavelet domain, namely video object coding and motion estimation techniques.
本文对基于对象的小波域视频细粒度可分级编码中的两个关键问题，即视频对象编码和运动估计技术进行了深入研究。
Recently, the statistical methods of seismic wavelet estimation achieved comprehensive application in real seismic data processing.
近年来，统计地震性子波估计技术在实际地震数据处理中得到了广泛应用。
In theory of estimation with wavelet thresholding, the threshold adapting data can be calculated by minimum estimation of risk to improve the SNR of estimation.
提出了基于多窗谱法和小波阈值法对带噪语音的短时功率谱进行估计的语音增强改进方法。
The wavelet subband coefficients of images have highly non Gaussian statistics that may be modeled with generalized Laplacian distributions, and Bayesian estimation is used to suppress noise.
图像的小波系数具有很强的非高斯统计特性，可以建立推广的拉普拉斯先验分布，用贝叶斯估计对图像小波系数滤波来达到降噪目的。
The method of the robustness seismic wavelet estimation using the maximum likelihood deconvolution are discussed in the paper.
利用极大似然反褶积提取鲁棒性地震子波的方法进行了研究，并讨论了极大似然反褶积的稳健性。
This algorithm makes good use of the B-Spline function's well performance in edge estimation and wavelet 's multi-scales character. The experiment results are satisfactory.
该算法充分的利用了B -样条函数在边缘拟合上的优势以及小波方法的多尺度优势，算法的处理结果令人满意。
The model test results of seismic wavelet estimation show that the method is more efficient than that only use stochastic optimization algorithm.
通过对地震记录子波估计的理论模型试验，结果表明这种混沌的优化算法比单一的随机优化方法具有很好的实际效果和应用前景。
Combining wavelet networks with a kind method of model structure design and parameter estimation of NARMAX model, a modified wavelet network training scheme is proposed.
将基于MGS算法的NARMAX模型结构与参数辨识的一体化算法和小波网络相结合，提出一种改进的小波网络学习算法。
This paper is devoted to the estimation of Q-factor in dispersive medium from zero offset VSP data in the wavelet domain.
讨论了地震子波为一般零相位子波情况下，利用零偏移距垂直地震剖面（VSP）资料在时-频域计算Q值方法。
The application of Wavelet in dynamic estimation and data fusion is introduced in this paper;
介绍了一种最优动态多尺度估计和融合算法 ；
The application of Wavelet in dynamic estimation and data fusion is introduced in this paper;
介绍了一种最优动态多尺度估计和融合算法 ；
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