翻訳と辞書
Words near each other
・ Time-saving bias
・ Time-scale calculus
・ Time-Sensitive Networking
・ Time-series segmentation
・ Time-sharing
・ Time-sharing system evolution
・ Time-slot interchange
・ Time-to-digital converter
・ Time-tracking software
・ Time-trade-off
・ Time-triggered architecture
・ Time-Triggered Protocol
・ Time-use research
・ Time-use survey
・ Time-utility function
Time-variant system
・ Time-varied gain
・ Time-varying covariate
・ Time-varying mesh
・ Time-Varying Microscale
・ Time-varying network
・ Time-weighted average price
・ Time-weighted return
・ Time/memory/data tradeoff attack
・ Time2shine
・ Time3
・ Timea
・ Timea Bacsinszky
・ Timea Majorova
・ Timea Nagy (activist)


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Time-variant system : ウィキペディア英語版
Time-variant system

A time-variant system is a system that is not time invariant (TIV). Roughly speaking, its output characteristics depend explicitly upon time.
== Overview ==
There are many well developed techniques for dealing with the response of linear time invariant systems, such as Laplace and Fourier transforms. However, these techniques are not strictly valid for time-varying systems. A system undergoing slow time variation in comparison to its time constants can usually be considered to be time invariant: they are close to time invariant on a small scale. An example of this is the aging and wear of electronic components, which happens on a scale of years, and thus does not result in any behaviour qualitatively different from that observed in a time invariant system: day-to-day, they are effectively time invariant, though year to year, the parameters may change. Other linear time variant systems may behave more like nonlinear systems, if the system changes quickly – significantly differently between measurements.
The following things can be said about a time-variant system:
* It has explicit dependence on time.
* It does not have an impulse response in the normal sense. The system can be characterized by an impulse response except the impulse response must be known at each and every time instant.
* It is not stationary

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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