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- W3108793496 abstract "The adaptive algorithm has been widely used in the digital signal processing like channel estimation, channel equalization, echo cancellation, and so on. One of the most important adaptive algorithms is the RLS algorithm. We present in this paper n multiple objective optimization approach to fast blind channel equalization. By investigating first the performance (mean-square error) of the standard fractionally spaced CMA (constant modulus algorithm) equalizer in the presence of noise, we show that CMA local minima exist near the minimum mean-square error (MMSE) equalizers. Consequently, CMA may converge to a local minimum corresponding to a poorly designed MMSE receiver with considerable large mean-square error. The step size in the RLS algorithm decides both the convergence speed and the residual error level, the highest speed of convergence and residual error level." @default.
- W3108793496 created "2020-12-07" @default.
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- W3108793496 date "2014-04-01" @default.
- W3108793496 modified "2023-09-27" @default.
- W3108793496 title "CMA Channel Equalization Through An Adaptive MMSE Equalizer Based RLS Algorithm" @default.
- W3108793496 doi "https://doi.org/10.47893/ijcct.2014.1232" @default.
- W3108793496 hasPublicationYear "2014" @default.
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