Abstract: Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end training, ...

Abstract: This work presents a pattern-coupled structured sparse Bayesian learning method for reconstructing room impulse responses (RIRs) in the time domain. It exploits the temporal properties of ...

LONDON — The galaxy-hopping hero of “Doctor Who” has survived many narrow escapes and reinventions over more than six decades. But is time finally up for the BBC science fiction series that has ...

LONDON (AP) — The galaxy-hopping hero of “Doctor Who” has survived many narrow escapes and reinventions over more than six decades. But is time finally up for the BBC science fiction series that has ...