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laplace transform相关的网络例句

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However, in fact, many Laplace transforms can not be found in the above two tables, which interferes with the applications of the analytical method of Laplace transform.

但是,实际。L有一些信号在拉普拉斯变换对表上是查不到的,这就在一定程度上影响了拉普拉斯变换分析法的应用。

In this paper Laplace transforms is utilized in viscoelastic theory of polymers making the relations between various viscoelastic functions like relaxation modulus , creep compliance and functiqns representing dynamic behavior simple and clear, relaxation spectrum and retardation spectrum are defined in terms of Laplace transform to correlate all viscoelastic functions.

将拉普拉斯变换应用于聚合物粘弹性理论,使粘弹性材料的特性函数如松弛模量、蠕变柔量以及表示动态力学性能的函数之间的关系简单明了,并用拉氏变换定义松弛谱和推迟谱,将各粘弹函数相互联系起来。

SIFT(Scale Invariant Feature Transform) local feature is chosen because of its scale invariance and the property of accurate key-point localization.The Euclidean distance between different SIFT feature vectors is defined as the measure of similarity to get the pre-matched key-point pairs.The affine transform model is used to realize the registration.In order to get the accurate affine transform parameter,the principal of affine transform error is used to get rid of mismatched key-point pairs from the pre-matched pairs.

该方法选取具有良好尺度、旋转不变性以及精确特征点定位能力的SIFT局部特征,使用其特征向量间的欧氏距离作为相似性度量进行特征点匹配,并依据仿射变换误差准则去除奇异匹配特征点对,采用仿射变换的几何模型,实现了遥感图像的快速自动配准。

In order to overcome the aliasing phenomenon commonly existing in real contourlet transform image denoising, some characters of complex contourlet transform whose structure is a cascading of dual tree complex wavelet and directional filter banks are discussed. It is proved that the transform performs well at division and restraining ability under white Gaussian noise condition. Then, an image denoising algorithm was proposed based on the transform.

为了克服实轮廓波图像消噪后广泛存在的混叠现象,研究了基于双树复小波级联方向滤波器架构的复轮廓波变换图像消噪的若干性质,证明了对于高斯白噪声图像,该变换具有更好的分割能力和抑制能力,并在此基础上提出了一种基于该变换的图像消噪算法。

At present, most of the image watermarking algorithms based on the wavelet transform fail to take into account the shortcoming that the first generation wavelet transform used in image processing will introduce quantization errors inevitably, because of the storing characteristics of the image. Wavelet transform that maps integers to integers will not introduce quantization errors. Its time-frequency analysis method and multi-scale property accordant with human being vision system makes integer wavelet transform an ideal way for digital watermarking.

目前,大多数基于小波变换的图像水印算法没有考虑到第一代小波变换用于图像处理中不可避免的引入量化误差的缺点,而整数小波变换除了具有小波的多分辨率分析与人类视觉特性一致、具有良好的时频特性等优点以外,还避免了第一代小波变换用于图像处理中引入量化误差等缺点。

This paper mainly discussed the design of the image transform technology, which includes the analyse of the algorithms about fourier transform, discrete cosine transform and radon transform, proposed new improved algorithms, detailed di...

本文重点论述了图像变换技术部分的设计,对其中的傅立叶变换、离散余弦变换和Radon变换算法都做了详细的分析,提出了改进的算法,并详细论述了图像变换模块的设计过程,最后通过实例对各算法进行了具体说明。

Mastery: The Z-Transform, The Region of Convergence for the Z-Transform, The Inverse Z-Transform, Properties of the Z-Transform, System Function Algebra and Block Diagram Representations.

教学内容: Z 变换; Z 变换收敛域;逆 Z 变换;由零极点图对傅立叶变换进行几何求值; Z 变换性质;几个常用 Z 变换对;利用 Z 变换分析和表征线性时不变系统;系统函数的代数属性与方框图表示;单边 Z 变换。

Pairs of images FFT transform and inverse transform example, discrete cosine transform and cosine inverse transform.

详细说明:对图像进行FFT变换和反变换的例子,离散余弦变换和余弦反变换。

Curvelet transform is one kind of new multiscale transform after 1999 that is based on wavelet transform, whose structural elements include the parameters of dimension and location, and orientation parameter more, which let Curvelet transform has good orientation characteristic.

随后99年出现的Curvelet变换是在小波变换基础上发展起来的一种新的多尺度变换,它的结构元素包括尺度和位置参数,比小波变换还多了方位参数,使得Curvelet变换具有良好的方位特性。

The examples show that harmonic wavelet packets transform more excellent than dyadic wavelet transform, and more excel in noise filter based on Fourier transform in sampling rotating vector analysis about vibrational signal on the basis of harmonic wavelet packet transform is putted forward.

实例表明,谐波小波包变换对强噪声下信号的提取能力优于二进小波变换,更优于基于Fouriar变换的噪声滤波。

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