This paper addresses the problem of compacting test responses in the presence of unknowns at the input of the compactor by exploiting the capabilities of well-known error detectio...
Janak H. Patel, Steven S. Lumetta, Sudhakar M. Red...
For a space compactor, degradation of fault detection capability caused by the masking effects from unknown values is much more serious than that caused by error masking (i.e. ali...
In this paper we analyze the problem of estimating a function from different noisy data sets collected by spatially distributed sensors and subject to unknown temporal shifts. We p...
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...