N-DIMENSIONAL DATA PIPELINE PROCESSOR HAVING ADVANCED FEATURES

摘要

An n-dimensional data pipeline processor and method are provided. This method is useful for the efficient characterization of spatial occupancy and identification of common spatial occupancy. The n-dimensional data pipeline processor data input preparing apparatus processes n-dimensional data by parsing, attributing, shifting, sizing, and truncating the data according to data entry modifier instructions. The n-dimensional data pipeline processor matrix output preparing apparatus makes matrix indices that represent characterized spatial occupancy of processed data and, using data entry modifier instructions, makes matrix indices that represent common spatial occupancy in the processed data. The n-dimensional data pipeline processor feature output preparing apparatus uses the matrix indices that represent common spatial occupancy to select data elements from the input data that contribute elements to the identified common spatial occupancy. Output matrix indices and selected data provide feedback to the n-dimensional data pipeline processor.