| 翻訳と辞書 |
| autocorrelation ： ウィキペディア英語版 |
autocorrelation
Autocorrelation, also known as serial correlation or cross-autocorrelation,〔Google Books https://books.google.de/books?id=V46p_mH99m8C&lpg=PA17&dq=crossautocorrelation&hl=de&pg=PA17#v=onepage&q=crossautocorrelation&f=false〕 is the cross-correlation of a signal with itself at different points in time (that is what the cross stands for). Informally, it is the similarity between observations as a function of the time lag between them. It is a mathematical tool for finding repeating patterns, such as the presence of a periodic signal obscured by noise, or identifying the missing fundamental frequency in a signal implied by its harmonic frequencies. It is often used in signal processing for analyzing functions or series of values, such as time domain signals.
==Definitions==
Different fields of study define autocorrelation differently, and not all of these definitions are equivalent. In some fields, the term is used interchangeably with autocovariance.
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「autocorrelation」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.
|
|