相互相関関数
1. Cross-correlationIn signal processing, cross-correlation is a measure of similarity of two waveforms as a function of a time-lag applied to one of them. This is also known as a sliding dot product or sliding inner-product. It is commonly used for searching a long-duration signal for a shorter, known feature. It also has applications in pattern recognition, single particle analysis, electron tomographic averaging, cryptanalysis, and neurophysiology.
Read “Cross-correlation” on English Wikipedia
Read “相互相関関数” on Japanese Wikipedia
Read “Cross-correlation” on DBpedia
Read “Cross-correlation” on English Wikipedia
Read “相互相関関数” on Japanese Wikipedia
Read “Cross-correlation” on DBpedia
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