but constant phase difference, then it follows that they are perfectly coherent. As will be discussed below, the second wave need not be a separate entity. It could be the first wave at a different time or position. In this cas...
H. Exploring the cross correlations and autocorrelations of the ULF indices and incorporating the ULF indices into the systems science of the so‐ lar wind-driven magnetosphere. Journal of Geophysical Research: Space Phys‐ ics2014; 119(6) 4307-4334....
数学方格纸Arithmeticmean，算术平均Arrheniusrelation，艾因尼斯Assessingfit关系，拟合评估Associativelaws，联想Asymmetricdistribution，非对称分布Asymptoticbias，渐近偏差Asymptoticefficiency，渐近效率Asymptoticvariance，渐近方差 Attributablerisk，Attributedata归因危险度，属性数据署名，物业自相关，自相关Autocorrelation...
The difference may be only in our minds, but nonetheless this mind-set influences the way the two are most often used. Crosscorrelation is a measure of similarity between two signals, while autocorrelation is a measure of how similar a signal is to itself. Autocorrelation for stochastic signals...
Difference Between Cross Correlation and Autocorrelation Cross correlation andautocorrelationare very similar, but they involve different types of correlation: Cross correlation happens when twodifferentsequences are correlated. Autocorrelation is the correlation between two of thesamesequences. In other words...
Hence, the spectral correlation may be interpreted as giving the strength of the elementary waves in signal x carried and modulated at all possible combinations (α,f). Because the autocorrelation function of a second-order cyclostationary signal is transient in time-lag τ and periodic in time ...
As nouns the difference between relevance and correlation is that relevance is the property or state of being relevant or pertinent while correlation is...
Correlation and linear regression Handbook of Biological Statistics John H. McDonald
The meaning of INTERCORRELATION is correlation between the members of a group of variables and especially between independent variables.
Below is a representation of the form as completed to obtain auto-correlations, partial auto-correlations, and data smoothing using both moving average smoothing and polynomial regression smoothing (Fig. 7.9): Fig. 7.9 The Autocorrelation form Full size image When we click the Compute button, we...