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An adaptive equalizer is an equalizer that automatically adapts to time-varying properties of the communication channel. It is frequently used with coherent modulations such as phase-shift keying, mitigating the effects of multipath propagation and Doppler spreading. Adaptive equalizers are a subclass of adaptive filters. The central idea is altering the filter's coefficients to optimize a filter characteristic. For example, in case of linear discrete-time filters, the following equation can be used: Many adaptation strategies exist. They include, e.g.:

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  • Un equalitzador adaptable és un equalitzador que s'adapta automàticament (en funció del temps) a les propietats del . S'utilitza sovint amb modulacions coherents, com ara modulació per desplaçament de fase, mitigant els efectes de la i . Hi ha diferents estratègies com l'algorisme_LMS o l'algorisme_RLS. Un exemple ben conegut és l', un filtre que utilitza la retroalimentació de les modulacions detectades, en addició a l'equalització convencional de modulacions futures. Alguns sistemes utilitzen seqüències predefinides de formació per a proporcionar punts de referència per al procés d'adaptació. (ca)
  • An adaptive equalizer is an equalizer that automatically adapts to time-varying properties of the communication channel. It is frequently used with coherent modulations such as phase-shift keying, mitigating the effects of multipath propagation and Doppler spreading. Adaptive equalizers are a subclass of adaptive filters. The central idea is altering the filter's coefficients to optimize a filter characteristic. For example, in case of linear discrete-time filters, the following equation can be used: where is the vector of the filter's coefficients, is the received signal covariance matrix and is the cross-correlation vector between the tap-input vector and the desired response. In practice, the last quantities are not known and, if necessary, must be estimated during the equalization procedure either explicitly or implicitly. Many adaptation strategies exist. They include, e.g.: * Least mean squares filter (LMS) Note that the receiver does not have access to the transmitted signal when it is not in training mode. If the probability that the equalizer makes a mistake is sufficiently small, the symbol decisions made by the equalizer may be substituted for . * Stochastic gradient descent (SG) * Recursive least squares filter (RLS) A well-known example is the , a filter that uses feedback of detected symbols in addition to conventional equalization of future symbols. Some systems use predefined training sequences to provide reference points for the adaptation process. (en)
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  • Un equalitzador adaptable és un equalitzador que s'adapta automàticament (en funció del temps) a les propietats del . S'utilitza sovint amb modulacions coherents, com ara modulació per desplaçament de fase, mitigant els efectes de la i . Hi ha diferents estratègies com l'algorisme_LMS o l'algorisme_RLS. Un exemple ben conegut és l', un filtre que utilitza la retroalimentació de les modulacions detectades, en addició a l'equalització convencional de modulacions futures. Alguns sistemes utilitzen seqüències predefinides de formació per a proporcionar punts de referència per al procés d'adaptació. (ca)
  • An adaptive equalizer is an equalizer that automatically adapts to time-varying properties of the communication channel. It is frequently used with coherent modulations such as phase-shift keying, mitigating the effects of multipath propagation and Doppler spreading. Adaptive equalizers are a subclass of adaptive filters. The central idea is altering the filter's coefficients to optimize a filter characteristic. For example, in case of linear discrete-time filters, the following equation can be used: Many adaptation strategies exist. They include, e.g.: (en)
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  • Equalitzador adaptable (ca)
  • Adaptive equalizer (en)
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