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Three adaptive discrete least squares cubic spline procedures for the compression of data

Authors
Journal
Computer Vision Graphics and Image Processing
0734-189X
Publisher
Elsevier
Publication Date
Volume
33
Issue
3
Identifiers
DOI: 10.1016/0734-189x(86)90181-7
Disciplines
  • Computer Science

Abstract

Abstract Three algorithms are developed for the compression of one-dimensional data by loosely coupled cubic splines. spline knots are located by adaptive iterative searches. The methods are applied to the compression of profile retrieval coefficients obtained from NOAA radiosonde/radiometric data. Additional compression is achieved by error acceptable, significant figure rounding, coupled with storage in integer strings. The results are compared with compression by finite-length discrete Fourier series computed by FFT procedures.

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