“In mathematics, a Hilbert space is an inner product space that is complete with respect to the norm defined by the inner product. Hilbert spaces serve to clarify and generalize the concept of Fourier ...

Abstract: The common vector (CV) method is a linear subspace classifier method which allows one to discriminate between classes of data sets, such as those arising in image and word recognition. This ...

$zero = PopUp(['choose','H is empty','H is nonempty'],'H is nonempty'); $subspace = PopUp(['choose','H is a subspace of V','H is not a subspace of V'],'H is a ...

add_functions($gr, "$a*x for x in <-5,5> using color:red and weight:2"); add_functions($gr, "$b*x for x in <-5,5> using color:red and weight:2"); $zero = PopUp ...

Abstract: Subspace detection and processing is receiving more attention nowadays as a method to speed up search and reduce processing overload. Subspace Learning algorithms try to detect low ...

Eigen-subspace projection (ESP) is one of the most popular methods of robust adaptive beamforming, and the key issue of ESP is the selection of the projection subspace. The traditional ESP method ...