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Detrended correspondence analysis (DCA) is a multivariate statistical technique widely used by ecologists to find the main factors or gradients in large, species-rich but usually sparse data matrices that typify ecological community data. DCA is frequently used to suppress artifacts inherent in most other multivariate analyses when applied to ...
Direct coupling analysis or DCA is an umbrella term comprising several methods for analyzing sequence data in computational biology. [1] The common idea of these methods is to use statistical modeling to quantify the strength of the direct relationship between two positions of a biological sequence , excluding effects from other positions.
Directional component analysis (DCA) [1] [2] [3] is a statistical method used in climate science for identifying representative patterns of variability in space-time data-sets such as historical climate observations, [1] weather prediction ensembles [2] or climate ensembles.
Correspondence analysis is performed on the data table, conceived as matrix C of size m × n where m is the number of rows and n is the number of columns. In the following mathematical description of the method capital letters in italics refer to a matrix while letters in italics refer to vectors .
The receiver generates a clock from an approximate frequency reference, and then phase-aligns the clock to the transitions in the data stream with a phase-locked loop (PLL). This is one method of performing a process commonly known as clock and data recovery (CDR). Other methods include the use of a delay-locked loop and oversampling of the ...
Direct clustering algorithm (DCA) is a methodology for identification of cellular manufacturing structure within an existing manufacturing shop. The DCA was introduced in 1982 by H.M. Chan and D.A. Milner [1] The algorithm restructures the existing machine / component (product) matrix of a shop by switching the rows and columns in such a way that a resulting matrix shows component families ...
An LDA approach also is designed with a normal course width, which is typically 3 to 6 degrees. (At each "edge-of-course", commonly 1.5 or 3 degrees left and right of course, the transmitted signal is created in such a way as to ensure full-scale CDI needle deflection at and beyond these edges, so the pilot will never falsely believe they are ...
Dependent component analysis (DCA) is a blind signal separation (BSS) method and an extension of Independent component analysis (ICA). ICA is the separating of mixed signals to individual signals without knowing anything about source signals.