Why is decorrelation important?
Why is decorrelation important? Decorrelation stretching enhances the color separation of an image with significant band-band correlation. The exaggerated colors improve visual interpretation and make feature discrimination easier. What is decorrelation in pca? Introduction. Principal component analysis (PCA) (Hotelling, 1933; Pearson, 1901) is a dimension reduction and decorrelation technique that transforms a correlated multivariate distribution into orthogonal linear combinations of the original variables. What is channel decorrelation? A process in which an audio source signal is transformed into multiple output signals with waveforms that are different from each other but which sound similar. There is a long history of home...