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小波子

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小波子

小波子

小波子

newman

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1

In the proposed technique , the to-be-combined images are first projected into wavelet subspaces.

在拟议的技术，将要合并的图片是首次预测到小波子。

3

Features derived from Grey Level Co-occurrence Matrix and Stationary Wavelet Transform are used in our method .

该方法利用灰度共生矩阵和平稳小波子带特征在不同方面较好地刻画了方向性纹理图像。

4

In this paper, the texture similarity description of fabric structure image based on wavelet subband coefficients is presented .

提出了基于小波子带系数的织构图像纹理相似性描述方法。

5

The history of sampling theorem in wavelet subspaces is presented in section 1.

第一节给出了小波子空间上抽样定理的发展状况；

6

Harmonic Sets and the Energies in Wavelet Scale Space Feature Extraction and Identification for Helicopter

直升机声信号谐波集及小波子空间能量特征提取与识别

7

The Research of the Quantization Scheme Based on Wavelet Subband Statistical Characteristic and PSNR Scalable Image Coding

基于小波子带统计特性的图像量化及质量可分级编码研究

8

Extension of Finite Length Signals for Wavelet Sub-band Coding System

小波子带编码系统中有限长信号的延拓

10

A Sampling Theorem with Compact Support for Wavelet Subspaces

关于小波子空间上的具有紧支撑的采样定理

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