decoction 发表于 2025-3-21 18:37:09

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有抱负者 发表于 2025-3-21 21:31:11

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NICE 发表于 2025-3-22 04:01:18

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Celiac-Plexus 发表于 2025-3-22 04:50:24

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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藕床生厌倦 发表于 2025-3-22 18:55:45

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Kaleidoscope 发表于 2025-3-22 22:47:10

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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commune 发表于 2025-3-23 08:48:09

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
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查看完整版本: Titlebook: Wavelets in Signal and Image Analysis; From Theory to Pract Arthur A. Petrosian,François G. Meyer Book 2001 Springer Science+Business Media