Date of Award

5-1984

Degree Type

Master's Essay - Restricted

Degree Name

Master of Science (MS)

Department

Mathematics, Statistics and Computer Science

Abstract

The precise modeling of a digital filter through expanded state equations is used as a basis for scaling the filter states and summers. The scaling process is structured to allow each state and summer full utilization of its dynamic range. The required dynamic range is defined based on "worst-case" operation of the filter. The measured dynamic range is then used to "normalize" the summer and state dynamic ranges by changing or adding filter multipliers. This scaling process does not change the basic filter structure. The scaling gives an improved signal-to-noise ratio for the same filter dynamic range. The scaling process has been computer automated for a general filter.

Comments

An Essay Submitted to the Faculty of the Graduate School, Marquette University in Partial Fulfillment of the Requirements for the Degree of Master of Science, Milwaukee, Wisconsin

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