The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 12, 1985

Filed:

May. 19, 1983
Applicant:
Inventor:

William E Swanson, San Diego, CA (US);

Assignee:

GTI Corporation, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F / ;
U.S. Cl.
CPC ...
364715 ;
Abstract

A matrix multiplier having application to a real time computer-generated imagery or graphics system, wherein the output of the multiplier is normalized to increase both the accuracy and speed by which a three dimensional object can be displayed on a video stream. The output of the matrix multiplier is typically a plurality of multiple (e.g. 32 or more) bit serial data screen. Each data stream is normalized to itself and to each of the other of the plurality of data streams which form the product of the matrix multiplication. That is, a particular segment (e.g. 16 bits) of each data stream is selected for continued processing in order to efficiently and accurately define an object in three dimensional space. The selection of each data stream segment is dependent upon the bit pattern thereof and, more particularly, upon the occurance of a pair of successive bits of opposite polarity relative to one another. Accordingly, in the event that many streams of data contain respective bit patterns wherein a large number of the most significant bits are all of the same polarity, the data streams are normalized or shifted by an identical number of bit positions, wherein some of the most significant bits thereof are discarded while the lesser significant bits are retained. Thus, the data streams are scaled to provide representative data words of both reduced size and maximized precision.


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