Signal-to-Symbol rnSP/S Transformation: Case Study

ARTIFICIAL INTELLIGENCE is that part of Computer Science that concerns itself with the concepts and methods of symbolic inference and symbolic representation of knowledge. But within the last fifteen years, it has concerned itself also with signals-with the interpretation or understanding of signal data. AI researchers have discussed "signal-tosymbol transformations," and their programs have shown how appropriate use of symbolic manipulations can be of great use in making signal processing more effective and efficient. Indeed, the programs for signal understanding have been fruitful, powerful, and among the most widely recog-Many different people helped in building HASP/SIAP in many different capacities. The people acknowledged below are project leaders (*), consult.ants;