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Titlebook: Digital Filtering in One and Two Dimensions; Design and Applicati Robert King,Majid Ahmadi,Mahmood Azimi-Sadjadi Book 1989 Springer Science

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發(fā)表于 2025-3-23 12:45:29 | 只看該作者
12#
發(fā)表于 2025-3-23 16:27:09 | 只看該作者
Nikoleta Yiannoutsou,Nikolaos Avourisbers. Practically, it is not possible to process an infinitely long sequence, although it is common practice to analyze many processing systems as though this were the case. Thus, we deal with finite-length sequences which have finite values in the range 0 ≤ . ≤ .?1 and whose values are zero outside this range.
13#
發(fā)表于 2025-3-23 21:59:34 | 只看該作者
https://doi.org/10.1007/978-1-4614-6501-0 linear digital filters only. In any case study, digital filtering forms only a part, nevertheless an important part, of the processes which must be applied to the image in order to achieve the desired objective; as such it is described within the context of the application.
14#
發(fā)表于 2025-3-23 22:49:20 | 只看該作者
Humor Styles in Younger ChildrenDigital filters in one, two, and many dimensions form a large class of systems used nowadays for the processing of both analogue and digital signals. We shall be considering in this book those digital systems classified as linear and time-invariant. Their properties, design, implementation, and applications will be discussed.
15#
發(fā)表于 2025-3-24 04:03:52 | 只看該作者
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發(fā)表于 2025-3-24 07:02:16 | 只看該作者
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發(fā)表于 2025-3-24 12:43:46 | 只看該作者
Vassilios Makrakis,Nelly Kostoulas-MakrakisIn this chapter we shall discuss techniques for designing recursive digital filters, with the restriction that the designed filter be realizable and stable. Part One of this chapter deals with different approaches for the design of one-dimensional (1-D) recursive filters.
18#
發(fā)表于 2025-3-24 18:08:39 | 只看該作者
19#
發(fā)表于 2025-3-24 22:45:27 | 只看該作者
Panagiotes Anastasiades,Nicholas ZaranisIn the preceding chapters, we have regarded the system as a closed box which converts an input signal into an output. The system has been described directly in terms of the relationship between input and output signals, either in the time or space domains, or alternatively in the Fourier-transform domain of either of these.
20#
發(fā)表于 2025-3-25 03:13:36 | 只看該作者
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