Syntactic pattern recognition for the classification of Ricker wavelets

Syntactic pattern recognition techniques are applied to the analysis of one‐dimensional seismic traces for classification of Ricker wavelets. The system for one‐dimensional seismic analysis includes a likelihood ratio test, optimal amplitude‐dependent encoding, probability of detecting the signal involved in the global and local detection, plus minimum‐distance and nearest‐neighbor classification rules. The relation between error probability and Levenshtein distance is proposed.