Abstract: An approach for determining corrective predistortion functions includes maintaining a history of recent estimations of a plurality of corrective predistortion functions. Each of those functions corresponds to a respective signal characteristic. By determining a feature of each of those functions from the history, one of the corrective predistortion functions is selected for a next estimation based upon which of the functions has a feature within the history that satisfies a selected criteria. In a disclosed example, the function having the lowest number of estimations within a recent history is selected as the function to have the highest priority for a next estimation.

Abstract: Determining a predistortion function includes sampling a signal to obtain a plurality of capture sets within a single sampling window. Each of the capture sets is analyzed to determine whether it satisfies preselected criteria. Example criteria include desired characteristics of a capture set average power, capture set peak power and a number of peaks within a capture set. If any capture set within the sampling window satisfies all of the preselected criteria and has the highest number of peaks, that capture set will be used for determining a predistortion function. A multiple capture set selection module applies the preselected criteria for selecting an appropriate capture set for determining the predistortion function. The predistortion function is used for applying predistortion to a signal before that signal is processed by a distorting component that introduces distortion so that the predistortion can compensate for or cancel out such distortion.

Abstract: A corrective predistortion function is applied to a signal to compensate for or cancel out distortion that is introduced by a component that processes the signal. A disclosed example includes applying a corrective predistortion function to a transmitted signal used for wireless communications. A technique for selecting the corrective predistortion function includes determining a current power level of the signal. When the current power level is at or below a lift level between a maximum signal power level and a minimum signal power level, a corrective predistortion function corresponding to the lift level is applied to the signal. When the actual signal power level is above the lift level, a corrective predistortion function corresponding to the actual current power level is applied.

Abstract: An approach for determining corrective predistortion functions includes maintaining a history of recent estimations of a plurality of corrective predistortion functions. Each of those functions corresponds to a respective signal characteristic. By determining a feature of each of those functions from the history, one of the corrective predistortion functions is selected for a next estimation based upon which of the functions has a feature within the history that satisfies a selected criteria. In a disclosed example, the function having the lowest number of estimations within a recent history is selected as the function to have the highest priority for a next estimation.

Abstract: A corrective predistortion function is applied to a signal to compensate for or cancel out distortion that is introduced by a component that processes the signal. A disclosed example includes applying a corrective predistortion function to a transmitted signal used for wireless communications. A technique for selecting the corrective predistortion function includes determining a current power level of the signal. When the current power level is at or below a lift level between a maximum signal power level and a minimum signal power level, a corrective predistortion function corresponding to the lift level is applied to the signal. When the actual signal power level is above the lift level, a corrective predistortion function corresponding to the actual current power level is applied.

Abstract: Determining a predistortion function includes sampling a signal to obtain a plurality of capture sets within a single sampling window. Each of the capture sets is analyzed to determine whether it satisfies preselected criteria. Example criteria include desired characteristics of a capture set average power, capture set peak power and a number of peaks within a capture set. If any capture set within the sampling window satisfies all of the preselected criteria and has the highest number of peaks, that capture set will be used for determining a predistortion function. A multiple capture set selection module applies the preselected criteria for selecting an appropriate capture set for determining the predistortion function. The predistortion function is used for applying predistortion to a signal before that signal is processed by a distorting component that introduces distortion so that the predistortion can compensate for or cancel out such distortion.