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XXXV SIMPOSIO BRASILEIRO DE TELECOMUNICACOES E PROCESSAMENTO DE SINAIS SBrT2017, 36 DE SETEMBRO DE 2017, SAO PEDRO, SPBlind Equalization Based on Complexity Measures: Is It Feasible? Patrick F. Coutinho,
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Begin by gathering all required audio files that need equalization.
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Blind equalization is based on the principle of removing distortion from a received signal without prior knowledge of the transmitted signal or the channel's characteristics.
Those who deal with signal processing or transmission systems, such as telecommunications companies and data communication experts, are required to implement blind equalization.
To fill out blind equalization, one must apply algorithms that use only the received signal for modifying the equalizer coefficients until the output signal is as close as possible to the desired signal.
The purpose of blind equalization is to enhance signal quality by removing inter-symbol interference and adapting the receiver to mitigate channel effects.
The information that must be reported includes the initial signal characteristics, adjustments made to the equalizer, performance metrics post-equalization, and assumptions used during the equalization process.
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