Estimation of Power Spectral Density by Filters

Authors:
E. J. Gauss
Affiliations:
Geophysical Institute, College, Alaska
Venue:
Journal of the ACM (JACM)
Year:
1964

Citing 2
Cited 1

A Comparison of Machine Organizations by Their Performance of the Iterative Solution of Linear Equations

Journal of the ACM (JACM)
Approximations for Digital Computers

Approximations for Digital Computers

A rapid method for digital filtering

Communications of the ACM

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Abstract

An algorithm is presented which differs from previous methods by being more adapted for searching over wide frequency ranges and which permits the estimation of spectral density as a function of time as well as of frequency. The algorithm may offer economy, especially on smaller computers. The algorithm is based on the analogy between a broadly tuned filter and a truncated cross correlation.