UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY INFORMATION SCIENCES INST
This report deals with design principles for iterative computational networks. Such computational networks are used for performing repetitive computations which typically are not data-dependent. Most of the signal processing algorithms, like FFT and filtering, belong to this class. The main idea in this report is the development of mathematical notation for expressing such designs. This notation captures the important features and properties of these computational networks, and can be used for analyzing, designing, and objectively evaluating computational networks.