We study the generalization error of functions that interpolate prescribed data points and are selected by minimizing a weighted norm. Under natural general conditions, we prove both interpolants their errors converge as number parameters grows, limiting interpolant belongs to reproducing kernel Hilbert space. This rigorously establishes an implicit bias minimum norm interpolation explains why ...

Coprime arrays enable Direction-of-Arrival (DoA) estimation of an increased number sources. To that end, the receiver estimates autocorrelation matrix a larger virtual uniform linear array (coarray), by applying selection or averaging to physical array's estimates, followed spatial-smoothing. Both and have been designed under no optimality criterion attain arbitrary (suboptimal) Mean-Squared-Er...