prewhiten
Prewhiten is a term used in signal processing and image processing to describe a transformation applied to data. The goal of prewhitening is to decorrelate the data and normalize its variance, making it more suitable for subsequent analysis or algorithms. In essence, it attempts to remove correlations between different features or channels of the data and make their variances equal.
This process is often applied to time series data or images before applying techniques such as Principal
Mathematically, prewhitening typically involves a linear transformation of the data. This transformation is derived from the