Abstract: An approach to linearization relaxes the requirements on the digitization of the analog output signal while maintaining the benefits of a high sampling rate of the output signal. The digitization approach extracts sufficient information to characterize the output signal over a wide bandwidth without necessarily determining sufficient information to fully represent the output signal, for example, without sampling the output signal at the Nyquist sampling rate with a sufficient precision to accurately represent the signal.

Abstract: An approach to linearization relaxes the requirements on the digitization of the analog output signal while maintaining the benefits of a high sampling rate of the output signal. The digitization approach extracts sufficient information to characterize the output signal over a wide bandwidth without necessarily determining sufficient information to fully represent the output signal, for example, without sampling the output signal at the Nyquist sampling rate with a sufficient precision to accurately represent the signal.

Abstract: An approach to converting an analog value based on a partition of an input range produces probabilities that the input is found within each of the regions based, for example, on a noisy version of the input. In some examples, iterative and/or pipelined application of comparison circuitry is used to accumulate a set of analog representations of the output probabilities. The circuitry can be adapted or configured according to the characteristics of the degradation (e.g., according to the variance of an additive noise) and/or prior information about the distribution of the clean input (e.g., a distribution over a discrete set of exemplar values, uniformly distributed etc.).

Abstract: An approach to converting an analog value based on a partition of an input range produces probabilities that the input is found within each of the regions based, for example, on a noisy version of the input. In some examples, iterative and/or pipelined application of comparison circuitry is used to accumulate a set of analog representations of the output probabilities. The circuitry can be adapted or configured according to the characteristics of the degradation (e.g., according to the variance of an additive noise) and/or prior information about the distribution of the clean input (e.g., a distribution over a discrete set of exemplar values, uniformly distributed etc.).