Then, it approximates the environment map in the same wavelet basis by keeping only the largest terms to get a non-linear approximation of the environment-map.
然后用相同的小波基对给定的环境光做小波变换，只保留其中绝对值较大的系数，从而得到环境光的非线性逼近。
By the family of wavelet basis function of wavelet Composition, it can describe the signal time (space) and frequency (scale) domain of the local characteristics.
小波由一族小波基函数构成，它可以描述信号时间(空间)和频率(尺度)域的局部特性。
Have analyzed properties of wavelet coefficients obtained from an image through wavelet transform, and discussed how to select wavelet basis to optimize wavelet coefficients.
分析了图像小波变换后小波系数的特征，讨论了优化小波系数的小波基选择问题。
This fuzzy neural network USES wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability.
这种模糊神经网络利用了小波基函数作为隶属函数，可在线根据误差调整隶属函数的形状，使模糊神经网络具有更强的学习和适应能力。
The practical problems in the fault detection and fault location using the wavelet transform, such as the wavelet basis function, the initial data, the velocity of traveling wave are studied.
针对小波变换在故障检测与测距中应用的实际问题如小波基函数、小波变换初始数据、行波波速的选取等进行了研究。
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。
On the basis of analyzing time sequence concept, logic and application, puts forward the space sequence concept, applies the wavelet analysis on space sequence concept.
分析了时间序列的概念，在逻辑和应用的基础上，提出了空间序列概念，并将小波分析应用于空间序列概念。
Wavelet analysis is very preponderant in acoustic emission detection of discharge in high voltage equipment. In its application, selection of best basis is important.
小波分析在高压电器放电检测中有很大的优越性，最优小波基的选择是小波分析的应用中的重要问题。
On the basis of evaluation function of using image intensity variance, we proposed a new auto-focusing algorithm by means of Wavelet Transform Multi-Resolution Analysis(WTMRA) theory.
在传统图像灰度方差评价函数的基础上，利用小波多分辨率分析，提出了一种新的自动聚焦算法。
On the basis of analyzing video data acquisition from radar recording meter, an improved radar image compression algorithm, based on zero-tree coding wavelet decomposition, was proposed.
在对雷达记录仪采集的视频数据分析的基础上，提出了一种改进的基于零树编码的小波分解雷达图像压缩算法。
On the basis of the analysis of denoising and edge detection of vehicle recognition, this paper proposes an effective detection method based on anti-symmetrical wavelet.
在对车型识别去噪和边缘检测进行分析的基础上，提出了一种基于反对称小波的检测方法。
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。
In order to extend the spatial describing ability of ICA basis images, wavelet transform was combined with ICA, which make it be able to segment texture images with large textons.
把小波变换和ICA算法相结合，扩展ICA纹理基元的空间尺度描述能力，使其能准确分割有较大纹理结构的纹理图像。
This paper is mainly concerned with extracting effective features from the recognized or classified signals by selecting wavelet packet basis via given training sample sets.
本文主要研究由给定的训练样本集，如何选择最优小波包基，从被识别或分类的信号中提取具有最大可分性的特征。
This paper discuss the effects of the wavelet function and the decomposed level on remote fused image deeply. The research provides basis for choosing wavelet function and the decomposed level.
详细地探讨了小波基函数、小波分解层数的选取对遥感图像融合结果的影响，为小波基函数和分解层数的选择提供了依据。
This paper analyzes the basic theory using two dimensions wavelet to detect image edges on the basis of wavelet transform and then designs the detecting...
根据二维小波变换的特点，分析了利用二维小波进行图像边缘检测的基本原理，并设计了利用二维小波变换进行多尺度边缘匹配的检测算法。
In order to improve the recognition effect and on the basis of analyzing the characteristic of MSTAR SAR image, a method of discrete wavelet analysis is proposed to extract features.
为了进一步提高MSTARSAR目标的识别效果，在分析了MSTAR SAR图像特点的基础上，提出了一种利用离散小波分解提取目标特征的方法。
On the basis of analyzing the basic features of impact signal noise from reactor loose parts, the wavelet nonlinear threshold value filtering method for the use of impact signal extraction is studied.
在分析反应堆松动部件冲击信号噪声基本特征基础上，利用小波非线性阈值滤波方法对冲击信号的提取进行了研究。
This paper briefly expounded the basic theory of wavelets and wavelet packet, and on the basis of using wavelet packet, introduced the general principles in vibration signal denoise.
简要阐述了小波分析、小波包分析的基本原理，并在此基础上介绍了利用小波包给信号去噪的一般原理。
On the basis of building software system developers evaluation index system, a wavelet network based evaluation method for software system developers was proposed.
文中在建立软件系统开发商的评价指标体系的基础上，提出了基于小波网络的软件系统开发商的评价方法。
By applying orthogonal linearity of wavelet transformation, a self adapting filter is designed on the basis of wavelet algorithm and is effectively applied to power active filter.
利用小波变换的正交线性性质，设计基于小波算法自适应滤波器。
In the study of brain-computer interfaces, a method based on best basis of wavelet packet decomposition was proposed. The method is used for the feature extraction of electroencephalogram.
在脑机接口研究中，针对脑电特征抽取，提出一种基于小波包最优基分解的方法。
Wavelet neural networks can be regard as not only the function-linked networks based wavelet function, but also the extension of Radical basis function (RBF) networks.
小波神经网络可以看作是以小波函数为基底的一种函数连接型网络，也可以认为是径向基函数(RBF)网络的推广。
On the basis of expounding the basic principle using 2-d wavelet transform for seismic attributes data, the paper built up the effective flow used for multi-scale edge detection of image.
本文在阐明二维小波变换用于地震属性数据基本原理的基础上，建立了小波变换用于图像多尺度边缘检测的有效流程。
Wavelet theory provides various basis functions and multi-resolution methods for finite element method, which will be selected in solving different problems.
小波理论为有限元方法提供了许多不同的基函数和多尺度分析方法，需要根据具体分析问题进行选择。
Based on the single scaling wavelet frame theory and radial basis function neural network, a multi dimensional input and output wavelet network is constructed.
在探索单尺度径向小波框架与径向基函数网络对函数逼近特性相似的基础上，构造了单尺度径向基小波网络。
A new method on the basis of wavelet transform (WT) was presented to easily adjust the parameters of filter bank and realize fast algorithm of speech processing for cochlear implants.
为克服以往滤波器组参数调整复杂问题和实现电子耳蜗语音处理的快速数字化计算，提出了将小波变换应用于电子耳蜗的语音处理。
We have derived the formulas for wavelet coefficients of the fractal signal and white noise separately on the basis of which the maximum likelihood method is used to estimate the fractal parameter.
分别推导了分形信号和白噪声的小波系数统计量的公式，在此基础上用最大似然法进行参数估计。
We have derived the formulas for wavelet coefficients of the fractal signal and white noise separately on the basis of which the maximum likelihood method is used to estimate the fractal parameter.
分别推导了分形信号和白噪声的小波系数统计量的公式，在此基础上用最大似然法进行参数估计。
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