Aspects of a method and system for a successive approximation analog-to-digital converter with dynamic search algorithms are provided. In some embodiments, a successive approximation analog-to-digital converter includes a digital-to-analog converter, a comparator, and a search and decode logic modules which cooperate to generate a digital output code representative of the analog input voltage based on a dynamic search algorithm. The dynamic search algorithms may alter a sequence of reference voltages used to successively approximate the analog input voltage based on one or more characteristics of the analog input voltage.

Aspects of a method and system for a successive approximation analog-to-digital converter with dynamic search algorithms are provided. In some embodiments, a successive approximation analog-to-digital converter includes a digital-to-analog converter, a comparator, and a search and decode logic modules which cooperate to generate a digital output code representative of the analog input voltage based on a dynamic search algorithm. The dynamic search algorithms may alter a sequence of reference voltages used to successively approximate the analog input voltage based on one or more characteristics of the analog input voltage.

An exemplary electronic light processing cell uses a photo sensor unit to provide an analog electrical output proportional to an amount of light impinging on the photo sensor. A noise source provides a noise output that is compared by a comparator, during a plurality of times during a frame of an image, with the analog electrical output to generate a binary digital output representative of each comparison. A digital counter counts the binary digital outputs during the frame and stores a count at the end of a frame where the value of the stored count is proportional the light impinging the photo sensor. The value of the stored count is adapted for use by an image processing unit to render an image.

Disclosed herein are systems and methods that describe statistical estimation based noise reduction for SAR ADCs. For SAR ADCs, the conversion error can be available at the comparator input. Although a noisy 1-bit comparator may not be able to produce an accurate estimation for its input if used only once, the comparison can be repeated multiple times for a designated bit of the multi-bit SAR ADC. This can allow for the improvement of the estimation accuracy by examining the probability of the comparator output being 1 or 0. The estimation of a signal from a noisy environment using multiple trials can be cast as a classic statistical estimation issue. In one aspect of the disclosure, an optimal Bayes estimator is disclosed to achieve a low estimation error from the comparator on a designated bit of the multi-bit SAR ADC.

Disclosed herein are systems and methods that describe statistical estimation based noise reduction for SAR ADCs. For SAR ADCs, the conversion error can be available at the comparator input. Although a noisy 1-bit comparator may not be able to produce an accurate estimation for its input if used only once, the comparison can be repeated multiple times for a designated bit of the multi-bit SAR ADC. This can allow for the improvement of the estimation accuracy by examining the probability of the comparator output being 1 or 0. The estimation of a signal from a noisy environment using multiple trials can be cast as a classic statistical estimation issue. In one aspect of the disclosure, an optimal Bayes estimator is disclosed to achieve a low estimation error from the comparator on a designated bit of the multi-bit SAR ADC.

At least one asymmetry element is configured to receive an input signal and is coupled to a first branch of a bi-stable flip-flop comprising the first branch and a second branch. An asymmetry between the first branch and the second branch depends on the input signal. A value indicative of the input signal is determined based on received output signals of a plurality of readout events.

Disclosed herein are systems and methods that describe statistical estimation based noise reduction for SAR ADCs. For SAR ADCs, the conversion error can be available at the comparator input. Although a noisy 1-bit comparator may not be able to produce an accurate estimation for its input if used only once, the comparison can be repeated multiple times for a designated bit of the multi-bit SAR ADC. This can allow for the improvement of the estimation accuracy by examining the probability of the comparator output being 1 or 0. The estimation of a signal from a noisy environment using multiple trials can be cast as a classic statistical estimation issue. In one aspect of the disclosure, an optimal Bayes estimator is disclosed to achieve a low estimation error from the comparator on a designated bit of the multi-bit SAR ADC.

An analog to digital converter has an input, a plurality of quantizers, a plurality of feedback loops, and a plurality of filters. The input is configured to receive an input signal. The plurality of quantizers has the Nth quantizer, and the Nth quantizer has the Nth quantizer input and the Nth quantizer output. The Nth quantizer input is connected to the input. The plurality of feedback loops has the Nth feedback loop, and the Nth feedback loop is formed around the Nth quantizer output and the Nth quantizer input and configured to reduce the difference between the signal of the Nth quantizer output and an Nth reference signal at an Nth frequency region. The plurality of filters has an Nth filter. The Nth filter is configured to select the Nth frequency region. The feedback loops provide a way to control the effect of some nonidealities such as comparator offsets.