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Partial Update Single Lag Autocorrelation Minimization for Channel Shortening

In this paper a novel partial update single lag autocorrelation minimization (PUSLAM) algorithm is proposed. This algorithm has low computational complexity whilst retaining essentially identical performance to the single lag autocorrelation minimization (SLAM) algorithm proposed by Nawaz and Chambers. Simulation studies on eight representative digital subscriber line channels show the ability of PUSLAM to achieve channel shortening and hence a certain level of bitrate within a multicarrier system.