The invention relates to a method for predicting and quantifying a binary charge redistribution type successive approximation analog-to-
digital converter, and belongs to the technical field of analog-to-
digital conversion. According to the method provided by the invention, a high P bit code of a previous quantification result is directly loaded in the quantification result of the present high P bit based on a common mode
voltage reset structure
capacitor array DAC, a prediction result is judged according to twice switching results before and after the switching of a redundant
capacitor, the comparison of the residual low bits can be carried out in the case of prediction
correctness, the
capacitance of a lower polar plate of the high P bit is reset in the case of a prediction error, and the traditional quantification from the most significant bit to the
least significant bit (MSB_First) is carried out again. By adoption of the method provided by the invention, the
switching frequency of a digital-to-analog converter module and the comparison times of a
comparator are maximally reduced, the average quantification
power consumption of the low and
medium frequency portions of signals are greatly reduced, and a low
power consumption design is realized; and the method provided by the invention can be used as a
feature parameter extraction means of electrocardiogram (ECG), electroencephalogram (EEG) and other biological medical signals so as to extract extreme values and frequency characteristics of target signals under extremely low
power consumption.