Performance of an experimental data flow architecture for signal processing

A new architecture based on the data flow principle has been developed for signal processing purposes. The Data Flow Signal Processor (DFSP) is capable of highly parallel computation of block realizations of nonrecursive algorithms. The flexibility and modularity of the DFSP architecture are illustrated by two examples. The three-sensor problem shows the high performance of the DFSP in handling three 100 kHz input streams and performing correlation computations on them. The second example shows that 256 × 256 images can be processed with spatially restricted operations at video rate.