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- W4200208986 abstract "Channel impulse response estimation and parameterization are important for wireless channel modeling. Because optimal parameter estimation is difficult to derive by closed-form equations, various iterative algorithms have been proposed. Iterative algorithms can provide accurate parameter estimation, but their disadvantage is a large amount of computation. The space-alternating generalized expectation-maximization (SAGE) algorithm is one of the most commonly used iterative algorithms for channel parameterization. In this paper, an efficient implementation method for the SAGE algorithm is proposed, and simulation results are also provided." @default.
- W4200208986 created "2021-12-31" @default.
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- W4200208986 date "2021-10-20" @default.
- W4200208986 modified "2023-10-06" @default.
- W4200208986 title "Efficient Implementation of the SAGE Algorithm for Channel Impulse Response Estimation" @default.
- W4200208986 doi "https://doi.org/10.1109/ictc52510.2021.9620874" @default.
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