This paper studies a statistical seismic wavelet estimation method, which based on higher order statistics and the hybrid ant colony algorithm.
本文重点研究了统计性方法中，基于高阶统计量及混合蚁群算法的地震子波估计方法。
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。
In this paper we proposed a new method for seismic wavelet estimation based on the genetic algorithms.
本文基于遗传算法提出了一个新的地震子波估计方法。
Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering.
在此基于小波域隐马尔可夫树模型，将贝叶斯估计和同态滤波思想有机结合，提出一种新的医学超声图像去噪方法。
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。
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。
Following the spectral correlation theory and wavelet transform theory, a method named as wavelet spectral correlation method is proposed for BPSK signal detection and chip rate estimation.
在谱相关理论和小波变换理论的基础上，提出了小波谱相关方法实现BPS K信号检测与码元速率的提取。
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。
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。
Secondly, use median filtering method to get inverse wavelet estimation in inverse domain.
其次，在逆子波域采用中值滤波，提取接近真实逆子波的逆子波估计；
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。
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。
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