Development of an integrated hyper-harmonic software-based noise filter for digital data conditioning

Author

• Rungsan Kajornsin

Abstract

"Digital data collected in near real time- typically contains erroneous values, or "noise". As a result, this data must be conditioned so that "good" values may be obtained. Often this conditioning, or filtering, is an averaging process. In other instances, the data may be filtered using a weighting factor, or some other mathematical construct. Hardware based filters are often employed in special purpose devices, while in more general-purpose applications the data is manipulated by software resulting in "software-based filtering".

In the Computer Integrated Manufacturing Laboratory at the University of Missouri-Rolla, an Integrated Hyper-Harmonic digital software filter has been developed. When dealing with data containing an extreme amount of noise, the Integrated Hyper-Harmonic filter returns a more accurate value than that returned by an averaging conditioner. In these situations, the Integrated Hyper-Harmonic filter also converges much more quickly than does an averaging conditioner.

This filter is currently in use in many applications in the Computer Integrated Manufacturing Laboratory, including laser range positioning applications, and accelerometer data conditioning applications"- Abstract, p. iii

Advisor(s)

Hubberd, Kevin M.

Committee Member(s)

Omurtag, Yildirim
Daily, Madison
Raper, Stephen A., 1960-
Krishnamurthy, K.

Department(s)

Engineering Management and Systems Engineering

Degree Name

Ph. D. in Engineering Management

Publisher

University of Missouri--Rolla

Publication Date

Summer 1999

Pagination

x, 143 pages

Note about bibliography

Includes bibliographical references (pages 135-142)

Rights

© 1999 Rungsan Kajornsin, All rights reserved.

Document Type

Dissertation - Restricted Access

File Type

text

Language

English

Thesis Number

T 7614

Print OCLC #

43074752

Recommended Citation

Kajornsin, Rungsan, "Development of an integrated hyper-harmonic software-based noise filter for digital data conditioning" (1999). Doctoral Dissertations. 1316.
https://scholarsmine.mst.edu/doctoral_dissertations/1316