RECOGNITION OF RICKER WAVELETS BY SYNTACTIC ANALYSIS

Syntactic pattern recognition techniques are applied to the analysis o f 1-D seismic traces to classify picker wavelets. Seismic picker wavel ets have structural information, and each wavelet can be represented b y a string of symbols. To recognize the strings, we use a finite-state automaton to identify each string. The automaton can accept strings h aving substitution, insertion, and deletion errors of the symbols. The re are two attributes, terminal symbol and weight, in each transition of the automaton. A minimum-cost, error-correcting, finite-state autom aton is proposed to parse the input string.