| Autor: |
Akhil Nahar, P. M. Jadhav, Shriya Shukla |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
2020 IEEE International Conference for Innovation in Technology (INOCON). |
| DOI: |
10.1109/inocon50539.2020.9298346 |
| Popis: |
Cadmium Zinc Telluride Imager (CZTI) is one of five payloads of AstroSat, a multi-wavelength satellite, which has observed multiple stellar phenomena using coded mask imaging. This mask convolves with the observation before being detected. Thus, some preprocessing of this detected data is required before it can be analysed. Deconvolution is often implemented in such situations where we try to recover the original source by removing the effect of convolution on the observed data. Deconvolution is often seen in filtering or for removal of interfering phenomena such as point spread functions. This paper proposes a new method for deconvolution of two multi-dimensional discrete signals, resulting in the recovery of the original source intended for capture. The discrete signals are represented as matrices and then deconvolved in the Z-domain. This has been verified using two and three dimensional matrices and has been thus been extended for m-dimensional signals. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
