2019
Spectrum-adapted Polynomial Approximation for Matrix Functions
ICASSP 2019accepted
We propose and investigate two new methods to approximate f(A)b for large, sparse, Hermitian matrices A. Computations of this form play an important role in numerous signal processing and machine learning tasks. The main idea behind both methods is to first estimate the spectral density of A, and th…