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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Hexagonal sampling ： ウィキペディア英語版 Hexagonal sampling A multidimensional signal is a function of M independent variables where $M\; \backslash ge\; 2$. Real world signals, which are generally continuous time signals, have to be discretized (sampled) in order to ensure that digital systems can be used to process the signals. It is during this process of discretization where sampling comes into picture. Although there are many ways of obtaining a discrete representation of a continuous time signal, periodic sampling is by far the simplest scheme. Theoretically, sampling can be performed with respect to any set of points. But practically, sampling is carried out with respect to a set of points that have a certain algebraic structure. Such structures are called lattices.〔Ton Kalker,"On Multidimensional Sampling", Philip Research Laboratories, Eindhoven, Chapter 4, Section 4.2〕 Mathematically, the process of sampling an N-dimensional signal can be written as:- :$w(\backslash hat)\; =\; w(V.\backslash hat)$ 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Hexagonal sampling」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.