翻訳と辞書 Words near each other ・ Causal filter ・ Causal graph ・ Causal inference ・ Causal layered analysis ・ Causal loop ・ Causal loop diagram ・ Causal Markov condition ・ Causal model ・ Causal patch ・ Causal perturbation theory ・ Causal plane ・ Causal reasoning ・ Causal research ・ Causal sets ・ Causal structure ・ Causal system ・ Causal theory ・ Causal theory of knowledge ・ Causal theory of reference ・ Causal thinking ・ Causalism ・ Causality ・ Causality (disambiguation) ・ Causality (physics) ・ Causality conditions ・ Causanagh ・ Causantín mac Cináeda ・ Causantín mac Fergusa ・ Causantín, Earl of Fife ・ Causapscal Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Causal system ： ウィキペディア英語版 Causal system In control theory, a causal system (also known as a physical or nonanticipative system) is a system where the output depends on past and current inputs but not future inputs i.e. the output $y(t\_)$ only depends on the input $x(t)$ for values of $t\; \backslash le\; t\_$. The idea that the output of a function at any time depends only on past and present values of input is defined by the property commonly referred to as causality. A system that has ''some'' dependence on input values from the future (in addition to possible dependence on past or current input values) is termed a non-causal or acausal system, and a system that depends ''solely'' on future input values is an anticausal system. Note that some authors have defined an anticausal system as one that depends solely on future ''and present'' input values or, more simply, as a system that does not depend on past input values. Classically, nature or physical reality has been considered to be a causal system. Physics involving special relativity or general relativity require more careful definitions of causality, as described elaborately in causality (physics). The causality of systems also plays an important role in digital signal processing, where filters are constructed so that they are causal, sometimes by altering a non-causal formulation to remove the lack of causality so that it is realizable. For more information, see causal filter. For a causal system, the impulse response of the system must be 0 for all . That is the sole necessary as well as sufficient condition for causality of a system, linear or non-linear. Note that similar rules apply to either discrete or continuous cases. == Mathematical definitions == Definition 1: A system mapping $x$ to $y$ is causal if and only if, for any pair of input signals $x\_(t)$ and $x\_(t)$ such that :$x\_(t)\; =\; x\_(t),\; \backslash quad\; \backslash forall\; \backslash \; t\; \backslash le\; t\_,$ the corresponding outputs satisfy :$y\_(t)\; =\; y\_(t),\; \backslash quad\; \backslash forall\; \backslash \; t\; \backslash le\; t\_.$ Definition 2: Suppose $h(t)$ is the impulse response of the system $H$. (only fully accurate for a system described by linear constant coefficient differential equation). The system $H$ is causal if and only if : otherwise it is non-causal. 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「Causal system」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.