Programs for signal recovery from noisy data using the maximum likelihood principle II. Program implementation
| Main Author: | CPC, Mendeley |
|---|---|
| Other Authors: | Gelfgat, V.I., Kosarev, E.L., Podolyak, E.R. |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 1993
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| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/c22mtv32fk |
Daftar Isi:
- Abstract Three subroutines intended for nonnegative signal recovery from noisy experimental data distorted by the measuring device are presented. The use of these subroutines is illustrated by a test program. Title of program: MLG8, MLU8, MLP8 Catalogue Id: ACLJ_v1_0 Nature of problem A program package for non-negative signal recovery from noisy experimental data distorted by the measuring device is presented. Noise may have a Gaussian, binomial or Poissonian distribution at each experimental point. Three examples are given which demonstrate the usage of the package: a) reduction to an arbitrary instrumental function, which depends only on the difference of its arguments (this is the typical spectroscopic problem); b) the expansion of an exponentially decaying curve which has ... Versions of this program held in the CPC repository in Mendeley Data ACLJ_v1_0; MLG8, MLU8, MLP8; 10.1016/0010-4655(93)90018-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)