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- W2003131566 abstract "We propose a new blind, adaptive channel shortening algorithm for updating the coefficients of a time-domain equalizer in a system employing multicarrier modulation. The technique attempts to minimize the sum-squared auto-correlation terms of the effective channel impulse response outside a window of desired length. The proposed algorithm, known as sum-squared auto-correlation minimization (SAM), requires the source sequence to be zero-mean, white, and wide-sense stationary, and it is implemented as a stochastic gradient descent algorithm. Simulation results are provided, demonstrating the success of the SAM algorithm in an asymmetric digital subscriber loop (ADSL) system." @default.
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- W2003131566 date "2003-12-01" @default.
- W2003131566 modified "2023-09-30" @default.
- W2003131566 title "Blind, adaptive channel shortening by sum-squared auto-correlation minimization (sam)" @default.
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- W2003131566 doi "https://doi.org/10.1109/tsp.2003.818892" @default.
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