Signal dependent adaptive level based sampling technique to minimize quantization error

Adaptive level based sampling law is proposed to reduce error between signal and sampled output. Adaptive law is formulated based on variable resolution concept as per variation of first derivative of signal. When there is faster variation in incoming signal properties beyond the limit of level based sampling then it results into violation of tracking condition. Adaptation is effective when time difference between two sampling instances based on level based sampling is less than loop delay of device. Using variable resolution, sampling level has been placed dynamically and appropriately to match loop delay criteria. Placed levels are having freedom to have separation between 1 to 2N integer multiple of resolution for N bit ADC. In the proposed method of variation in quantization size, a minimum possible value of integer multiple is selected for providing change in quantization size to match loop delay of device. This is done in order to reduce error between signal and sampled output in comparison to existing method of adaptive level based sampling. The proposed concept is demonstrated via simulation environment and performance is compared with standard level based sampling and well established adaptive level based sampling approach.