Examination of Time Series through Randomly Broken Windows.
Abstract
In order to determine the Fourier transform of a quasi-periodic time series (linear problem), or the power spectrum of a stationary random time series (quadratic problem), it is desirable that data be recorded without interruption over a long time interval. In practice, this may not be possible. The effect of regular interruption such as the day/night cycle is well known. We here investigate the effect of irregular interruption of data collection (the breaking of the window function) with the simplifying assumption that there is a uniform probability that each interval of length, of the total interval of length, yields no data.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1980
- Accession Number
- ADA097140
Entities
People
- Peter A. Sturrock
Organizations
- Stanford University