## Abstract We present motivation for performing the filtering step of the widely used filtered backโprojection algorithm in a nonโRadon domain. For squareโerror optimal penalizedโlikelihood regularization, filtering in a domain for which the true projection data is sparse in the angle dimension yi
Frequency domain and sequency domain filtering of nuclear spectral data
โ Scribed by H.B. Kekre; V.K. Madan
- Publisher
- Elsevier Science
- Year
- 1986
- Tongue
- English
- Weight
- 308 KB
- Volume
- 245
- Category
- Article
- ISSN
- 0168-9002
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