Efficient convolutions using polynomial covers

摘要

Signal processing and pattern recognition is efficiently accomplished by using a plurality of low degree polynomials to approximate the images. The polynomials are then differentiated to obtain impulse functions. The impulse functions may be easily and efficiently convolved and the convolution subsequently integrated to extract the desired signal information.