The state of the art for solving the phase retrieval problem in two dimensions relies heavily on the algorithms proposed by Gerchberg, Saxton, and Fienup. Despite the widespread u...
Heinz H. Bauschke, Patrick L. Combettes, D. Russel...
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Constrained random simulation is the main workhorse in today’s hardware verification flows. It requires the random generation of input stimuli that obey a set of declaratively...
The problem under study here is the minimax design of linearphase lowpass FIR filters having variable passband width and implemented through a Farrow structure. We have two main ...