This article proposes an original method to estimate a continuous transformation that maps one N-dimensional distribution to another. The method is iterative, non-linear, and is shown to converge.

This paper proposes an improved one-dimensional direction estimation method (DOA) based on weighted L1 norm singular Value Decomposition (SVD). Traditional DOA estimation methods usually rely on array ...