Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
Abstract—This paper proposes a new iterative channel estimation algorithm for known symbol padding (KSP) Orthogonal Frequency Division Multiplexing (OFDM) based on the Expectatio...
Abstract—This paper studies an efficient receiver design for concatenated space-frequency coded orthogonal frequency division multiplexing (OFDM) systems under severe multipath c...
Abstract. In this paper, we study the existence of multicollisions in iterated hash functions. We show that finding multicollisions, i.e. r-tuples of messages that all hash to the...
While AGM belief revision identifies belief states with sets of formulas, proposals for iterated revision are usually based on more complex belief states. In this paper we investi...