1. A data processing method, comprising the steps of: (a) initializing a syndrome vector to be an (n−1) th symbol; (b) finding a corresponding mask based on the syndrome vector, wherein a value of the mask is equal to 0 when a value of the (n−1) th symbol is equal to 0; (c) correcting a known constant based on the mask, wherein a value of the known constant corrected based on the mask is equal to 0 when a value of the syndrome vector is equal to 0; (d) inputting the syndrome vector to a log look-up table to correspondingly find log data; (e) performing, based on the log data and a log known constant, a modulo addition operation corresponding to log maximum data to find a log sum; and (f) inputting the log sum to an anti-log look-up table to correspondingly find operational data.