標(biāo)題: Titlebook: Efficient Algorithms for Discrete Wavelet Transform; With Applications to K. K. Shukla,Arvind K. Tiwari Book 2013 The Editor(s) (if applica [打印本頁(yè)] 作者: CAP 時(shí)間: 2025-3-21 16:28
書目名稱Efficient Algorithms for Discrete Wavelet Transform影響因子(影響力)
書目名稱Efficient Algorithms for Discrete Wavelet Transform影響因子(影響力)學(xué)科排名
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書目名稱Efficient Algorithms for Discrete Wavelet Transform網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Efficient Algorithms for Discrete Wavelet Transform被引頻次
書目名稱Efficient Algorithms for Discrete Wavelet Transform被引頻次學(xué)科排名
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書目名稱Efficient Algorithms for Discrete Wavelet Transform讀者反饋
書目名稱Efficient Algorithms for Discrete Wavelet Transform讀者反饋學(xué)科排名
作者: B-cell 時(shí)間: 2025-3-21 20:21 作者: ABASH 時(shí)間: 2025-3-22 01:45 作者: 固執(zhí)點(diǎn)好 時(shí)間: 2025-3-22 07:50 作者: Deadpan 時(shí)間: 2025-3-22 12:13 作者: 南極 時(shí)間: 2025-3-22 13:00 作者: 南極 時(shí)間: 2025-3-22 17:30 作者: 追蹤 時(shí)間: 2025-3-22 22:12 作者: exigent 時(shí)間: 2025-3-23 03:50
Book 2013rformance depends significantly on the precision of the intermediate DWT coefficients. This work presents new implementation techniques of DWT, that are efficient in terms of computation, storage, and with better signal-to-noise ratio in the reconstructed signal.作者: indemnify 時(shí)間: 2025-3-23 05:51
https://doi.org/10.1007/978-3-642-94523-6. presents historical review of multiresolution analysis and wavelet transform. Various kinds of wavelet transform applied to signal processing applications viz. continuous wavelet transform (CWT) and DWT (one dimension and two dimensions) are discussed in brief. . reviews implementation issues and 作者: 木訥 時(shí)間: 2025-3-23 13:21
https://doi.org/10.1007/978-3-658-01174-1y of literature reveals a close relationship between the DWT and digital filter banks. It turns out that a tree of digital filter banks, without computing mother wavelets, can simply achieve the wavelet transform. Hence, the filter banks have been playing a central role in the area of wavelet analys作者: 油膏 時(shí)間: 2025-3-23 15:34
https://doi.org/10.1007/978-3-642-60954-1 to investigate how this can affect the potential of the resulting hardware implementation of DWT. The issue has been analyzed for both pyramid structure DWT and parallel filter DWT. The organization of this chapter is as follows. . presents background material related to subject. . presents in brie作者: BALE 時(shí)間: 2025-3-23 20:25 作者: INCH 時(shí)間: 2025-3-24 00:23 作者: 侵略 時(shí)間: 2025-3-24 03:37
Introduction,. presents historical review of multiresolution analysis and wavelet transform. Various kinds of wavelet transform applied to signal processing applications viz. continuous wavelet transform (CWT) and DWT (one dimension and two dimensions) are discussed in brief. . reviews implementation issues and 作者: 一起平行 時(shí)間: 2025-3-24 10:29 作者: myopia 時(shí)間: 2025-3-24 12:32
Finite Precision Error Modeling and Analysis, to investigate how this can affect the potential of the resulting hardware implementation of DWT. The issue has been analyzed for both pyramid structure DWT and parallel filter DWT. The organization of this chapter is as follows. . presents background material related to subject. . presents in brie作者: 胎兒 時(shí)間: 2025-3-24 17:26 作者: LAVA 時(shí)間: 2025-3-24 22:07
DWT-Based Power Quality Classification,ted for both . and . fuzzy inference engines. The proposed scheme is much simpler and powerful than currently available power quality (PQ) classification schemes. The organization of the chapter is as follows. . presents background material of the subject. . presents a general introduction to applic作者: CHIDE 時(shí)間: 2025-3-25 01:19
Efficient Algorithms for Discrete Wavelet TransformWith Applications to作者: Carminative 時(shí)間: 2025-3-25 05:44 作者: diabetes 時(shí)間: 2025-3-25 09:11 作者: 重疊 時(shí)間: 2025-3-25 13:40 作者: bizarre 時(shí)間: 2025-3-25 17:20 作者: 老人病學(xué) 時(shí)間: 2025-3-25 20:54
https://doi.org/10.1007/978-3-642-60954-1 ideal for signal/image analysis and encoding. Hardware implementation of DWT is fast and area efficient in fixed-point arithmetic. DWT encoding has been drawing much attention because of its ability to decompose signals into a hierarchical structure that is suitable for adaptive processing in the t作者: Spongy-Bone 時(shí)間: 2025-3-26 03:52
https://doi.org/10.1007/978-3-642-92261-9 its higher performance, lower cost, and sustained productivity [148]. To solve a computationally intensive problem efficiently on a cluster of existing computers, distributed computing involves a significantly lower cost factor [156]. Although it is difficult for a distributed computing user to ach作者: 有權(quán)威 時(shí)間: 2025-3-26 04:56 作者: 淡紫色花 時(shí)間: 2025-3-26 08:54
K. K. Shukla,Arvind K. TiwariDescribes a mathematical model to predict the errors introduced in the implementation of the discrete wavelet transform (DWT) on fixed-point processors.Explores the application of DWT on benchmark sig作者: Thyroid-Gland 時(shí)間: 2025-3-26 14:18
SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/e/image/302959.jpg作者: adequate-intake 時(shí)間: 2025-3-26 17:23 作者: Arable 時(shí)間: 2025-3-27 00:42 作者: corpus-callosum 時(shí)間: 2025-3-27 02:18
Efficient Algorithms for Discrete Wavelet Transform978-1-4471-4941-5Series ISSN 2191-5768 Series E-ISSN 2191-5776 作者: CULP 時(shí)間: 2025-3-27 06:08
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