Benchmark repository for Approximate Joint Diagonalization BenchOpt is a package to simplify and make more transparent and reproducible the comparisons of optimization algorithms. This benchmark ...

Joint diagonalization of several correlation matrices is a powerful tool for blind signal separation. The paper addresses the blind signal separation problem for the case where the source signals are ...

This is a simple C++ program for computing the eigenvalues and eigenvectors of any square matrix using the LAPACK library. Diagonalization is handled by the "diagonalization" class, which is defined ...

The concepts of off-diagonalizing vectors, matrix amplitude, which is given in terms of the eigenvalues, and partially complementary matrices are introduced. This leads to a geometrical interpretation ...

Discover efficient block decomposition schemes for generalized reflexive matrices, preserving singular values and enabling large-scale parallelism. Explore their applications in scientific and ...

System eigenvalues are computed from the plant matrix to obtain the natural frequencies and modal fractions of critical damping. Joint Approximate Diagonalization (JAD) of the Hankel matrices enables ...