Analysis versus synthesis in signal priors
Technion – Israel Institute of Technology · University of California, Santa Cruz
Abstract
The concept of prior probability for signals plays a key role in the successful solution of many inverse problems. Much of the literature on this topic can be divided between analysis-based and synthesis-based priors. Analysis-based priors assign probability to a signal through various forward measurements of it, while synthesis-based priors seek a reconstruction of the signal as a combination of atom signals. The algebraic similarity between the two suggests that they could be strongly related; however, in the absence of a detailed study, contradicting approaches have emerged. While the computationally intensive synthesis approach is receiving ever-increasing attention and is notably preferred, other works…
Citation impact
- FWCI
- 22.27
- Percentile
- 100%
- References
- 26
Authors
3Topics & keywords
- Prior probability
- Similarity (geometry)
- Mathematics
- SIGNAL (programming language)
- Algorithm
- Bayesian probability
- Inverse problem
- Algebraic number