Subspace decomposition

1. What is subspace decomposition?
2. What is subspace method?
3. What is noise subspace?

What is subspace decomposition?

ious areas, e.g., array signal processing, system identification, and spectrum estimation, require a step of extracting the low- dimensional subspace from a large space. This step is usually. called subspace decomposition, which is conventionally accom-

What is subspace method?

A typical approach in subspace analysis is the subspace method (SM) that classifies an input pattern vector into several classes based on the minimum distance or angle between the input pattern vector and each class subspace, where a class subspace corresponds to the distribution of pattern vectors of the class in high ...

What is noise subspace?

In the most existing researches, the noise subspace is formed by (defined as) the eigenvectors corresponding to all small eigenvalues of the array output covariance matrix.