Basis Representations of Signals

Principal component analysis (PCA) is a powerful technique for using the data to choose good bases. In this lesson you will learn how PCA chooses bases to minimize the mean-square error between the -dimensional signal and a representation using bases. That is, PCA finds the best bases for explaining the variance of the data. The […]