Automated Method of Frequency Determination in Software Metric Data Through the Use of the Multiple Signal Classification (MUSIC) Algorithm
Abstract
In accordance with the present invention, a method for obtaining frequency information about a given data set is realized. The method comprises the steps of providing a processing unit; inputting a raw data set into the processing unit; optionally removing at least one trend from the raw data; ordering the raw data; estimating power spectral density using an eigenanalysis approach and the inputted raw data and the ordered raw data; simultaneously estimating the power spectral density using the raw data and a periodogram; generating a time series representation of the raw data to which curve fitting is applied; comparing the results from the power spectral density estimating steps and the time series representation generating step to determine if any frequencies suggested by the eigenanalysis approach estimating step are valid; and generating an output signal representative of each valid frequency.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 26, 1998
- Accession Number
- ADD019021
Entities
People
- Francis P. Whitsitt-lynch
- Steven W. Thorpe
Organizations
- United States Department of the Navy