  Computationally efficient classification system architecture is proposed. It
utilizes fast tensor-vector multiplication algorithm to apply linear operators
upon input signals . The approach is applicable to wide variety of recognition
system architectures ranging from single stage matched filter bank classifiers
to complex neural networks with unlimited number of hidden layers.
