decoction 发表于 2025-3-21 18:37:09
书目名称Wavelets in Signal and Image Analysis影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK1021290<br><br> <br><br>书目名称Wavelets in Signal and Image Analysis影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK1021290<br><br> <br><br>书目名称Wavelets in Signal and Image Analysis网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK1021290<br><br> <br><br>书目名称Wavelets in Signal and Image Analysis网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK1021290<br><br> <br><br>书目名称Wavelets in Signal and Image Analysis被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK1021290<br><br> <br><br>书目名称Wavelets in Signal and Image Analysis被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK1021290<br><br> <br><br>书目名称Wavelets in Signal and Image Analysis年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK1021290<br><br> <br><br>书目名称Wavelets in Signal and Image Analysis年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK1021290<br><br> <br><br>书目名称Wavelets in Signal and Image Analysis读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK1021290<br><br> <br><br>书目名称Wavelets in Signal and Image Analysis读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK1021290<br><br> <br><br>有抱负者 发表于 2025-3-21 21:31:11
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Wavelet Domain Features for Texture/Pattern Description, Classification and Replicability Analysisd by traversing a tree. The algorithm is tested on a database with 340 images demonstrating an excellent classification accuracy. Additionally, we demonstrate the efficiency of our perceptual feature set with an application in texture/pattern retrieval.Agility 发表于 2025-3-22 10:47:01
Wavelet Domain Features for Texture/Pattern Description, Classification and Replicability Analysisd by traversing a tree. The algorithm is tested on a database with 340 images demonstrating an excellent classification accuracy. Additionally, we demonstrate the efficiency of our perceptual feature set with an application in texture/pattern retrieval.Flatter 发表于 2025-3-22 15:13:52
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Discrete-Time Waveletsnd reviews their properties in a systematic and consistent way. Different kinds of orthogonality between the wavelets are addressed and the corresponding sufficient and necessary conditions are derived. It is shown when discrete-time wavelets can be samples of continuous-time wavelets. The condition沉着 发表于 2025-3-23 04:58:19
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The Double Density DWTs, or . In particular, we consider the design of systems that are analogous to Daubechies’ orthonormal wavelets — that is, the design of minimal length wavelet filters satisfying certain polynomial properties, but now in the oversampled case. The wavelets are constructed using maximally flat FIR fil