On the Spectrum Analysis of Binary Data.

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Abstract:

Characteristics of the spectra of binary data are investigated by use of a two-state, linear, first-order Markov model for the data. Examples of binary data are rain-no rain, fog-no fog, clear-cloudy, sunlight-no sunlight, etc. Some statistical properties of the sample autocovariances and spectral densities of such data are presented and compared with corresponding empirical results. Author

Author(s):
Avara, Elton P.
Author Organization(s):
ARMY ELECTRONICS COMMAND FORT MONMOUTH N J
Descriptive Note:
Technical rept.,
Pagination:
0021

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
ECOM-5580
Task Number(s):
1T162111AH71A2
Project Number(s):
DA-1-T-162111-AH-71
 Subject Terms
Joint Capability Areas:
JCA_6.3.3_Spectrum Management
Communities of Interest:
No COI(s) Identified
Descriptor(s):
*METEOROLOGICAL DATA, *SPECTRUM ANALYSIS, *BINARY NOTATION, COMPUTERIZED SIMULATION, CLOUDS, DENSITY, MODELS, RANDOM VARIABLES, THEORY, STATISTICS, RAIN, FOG, MARKOV PROCESSES, SUNLIGHT
Field(s)/Group(s):
Meteorology, Statistics and Probability
Keyword(s):
Autocovariance, Spectral density
Report Date:
1975 Nov 01