In the premise of ensuring the accuracy of seismic wavelet, reduced the model order as much as possible so as to obtain high-efficiency and high-precision seismic wavelet model order determination.
在保证子波精度的前提下尽可能地降低模型阶数，提高运算效率，最终实现高效率高精度的子波模型定阶。
A system model of image sequence coding based on wavelet transform is established. Then a high data compression ratio is realized and satisfactorily reconstructed image can be obtained.
建立了基于小波变换的运动图像编码系统模型，实现了数据的高效压缩并得到了良好的恢复图像。
Wavelet network based nonlinear time series prediction model is submitted, and nonlinear time series prediction and its application in fault prediction are discussed in this paper.
本文提出了基于小波网络的非线性时间序列预报模型，探讨了非线性时间序列预报在故障预报中的应用。
Presents a novel texture retrieval approach of medical images based on statistic model by Dual-Tree Complex Wavelet Trans - form (DT-CWT) for the shift sensitivity and poor directionality of DWT.
针对离散小波变换具有平移变化性和弱方向性的特性，本文提出了一种基于双树复小波变换(DT- CWT)统计模型的医学图像纹理检索方法。
In recently years, wavelet analysis has more and more wide application in network traffic model, and it offers the strong base for using network source efficiently.
近年来，小波分析理论在网络业务模型中的应用越来越广泛，它为更有效的利用网络资源提供了坚实的理论基础。
Considering the nonlinearity, complexity and randomicity of elevator traffic flow, the prediction model of elevator traffic flow based on wavelet support vector machines was proposed.
考虑到电梯交通流本身所存在的非线性、复杂性和随机性，提出了一种基于小波支持向量机的电梯交通流预测模型。
The wavelet neural network model to forecast and control equipment development expense is established on the basis of theory and method of wavelet together with its transform.
通过小波及小波变换的原理和方法，建立了适用于武器装备研制费用的小波神经网络预测与控制模型。
And this paper classifies the popular methods, the main ideas are as follows: edge preserving, vector quantization, wavelet transform, interpolation kernel, Fractal technology and edge model.
本文对目前流行的各种方法进行了归类，主要思想有：边缘保持、矢量量化、小波变换、插值核、分形技术以及边缘模型。
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。
Based on the primary qualitative method, we propose an annual runoff prediction model using weighted sum of wavelet coefficients of major periods to predict the periodic components.
本文在原有定性分析方法的基础上，提出基于年径流时间序列主周期小波系数加权求和预测周期成分的年径流预测模型。
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。
Furthermore, through the maximum likelihood used for evaluating three parameters of wavelet coefficients' probability model, the adaptive algorithm is derived in the article.
而且本文通过极大似然法估计小波系数概率模型中的三个参数，使算法达到自适应。
Base on the basic model of orthogonal wavelet transforms, principle of remote sensing image fusion is discussed by using orthogonal wavelet decomposition and reconstruction in this paper.
在给出小波变换基本模型的基础上，探讨了采用小波正交分解与重构来进行遥感信息融合的基本原理。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
The paper USES wavelet neutral network to build up warning model, and judges its forecast results, then draws a conclusion that wavelet neutral network has many superior functions in the warning.
利用小波神经网络预警方法建立预警模型，并判断其预测效果，由此分析出小波神经网络在预警方面具有诸多优越的性能。
The thesis based on random fractal theory, utilizing fractional Brownian motion model, using R/S analysis technique and wavelet transform method to estimate Hurst exponent which dep.
基于随机分形理论，采用分数布朗运动模型，应用R/S分析技术和基于小波变换的谱参数估计方法计算地震道信号的赫斯特指数。
On the earning data of the tests, temperature static model of gyro has been studied by the two ways of linear regression algorithm and of wavelet network identification.
在试验数据的基础上，分别使用线性回归算法和小波网络建立了陀螺仪的静态温度模型。
A dynamic model identification method of electro-hydraulic servo turntable based on wavelet theory is proposed, which has a higher identification precision compared with traditional methods.
针对电液伺服转台数学模型辨识精度不高问题，提出一种基于小波理论的电液伺服转台动态模型识别方法。
M-band wavelet is used to approximate the projection relationship between the scale Spaces, and system model that satisfies Kalman filter condition is built.
用M带小波变换来拟合状态在各尺度空间的投影关系，建立了满足标准卡尔曼滤波条件的系统模型。
Integrating the merit of wavelet transform with that of artificial neural network, a wavelet neural network (WNN) model for forecasting network traffic was created.
结合小波变换和人工神经网络的优势，建立一种网络流量预测的小波神经网络模型。
A scene matching algorithm based on complex valued wavelet transform is discussed in this paper. We propose an effective scene matching model based on this algorithm.
讨论了一种基于复数小波变换的景像匹配算法，并以此算法为基础给出了一个高效的景像匹配模型。
A new numerical method on rill erosion model was proposed by combining the wavelet collocation method with the precise integration method, which is called wavelet precise integration method (WPIM).
将小波配置方法和精细积分方法相结合，提出了一种对水土侵蚀模型进行数值分析的新方法——小波精细积分法。
In order to accurately distinguish the origins bringing about abrupt changes in sensor output, a method is presented for wavelet frequency analysis based on mathematical model.
为了准确区分传感器突变信号产生的原因，提出了基于数学模型的小波频带分析法。
A new double relational filtering model is constructed using two wavelet groups to enhance the filtering constraints of the geophysical and geochemical data.
构建了一个考虑两个子波群，增加信息约束条件对研究区物化探信息进行滤波的新模型—双子波关联滤波模型。
In the paper focal point was put on the model simplification with wavelet transform and the construction of multi-resolution model with LOD technology and at the same time trial was applied.
文中重点研究了数字高程模型的小波变换简化以及构建多分辨率数字模型中LOD简化技术并进行试验应用。
We use ARMA model to describe the seismic wavelet, and use genetic algorithms to estimate the ar parameters and the ma parameters iteratively.
该方法用ARMA模型描述地震子波，用遗传算法交替迭代地估计AR和MA参数。
Based on the method of wavelet decomposition combining with ANFIS, a compositive prediction model of the equatorial east Pacific sea surface temperature anomaly (SSTa) was established.
用小波分解和自适应神经模糊推理系统(ANFIS)相结合的方法，建立了赤道东太平洋海温的集成预报模型。
A new method of the sea wave prediction is presented in this paper, which USES both the method of wavelet decomposition and the neural network model based on recursive square root.
提出采用小波分解与递推平方根法神经网络模型相结合的方法进行海浪预报。
A new method of the sea wave prediction is presented in this paper, which USES both the method of wavelet decomposition and the neural network model based on recursive square root.
提出采用小波分解与递推平方根法神经网络模型相结合的方法进行海浪预报。
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