rekonstrueerimisalgoritmidega
Rekonstrueerimisalgoritmidega, or reconstruction algorithms, are computational techniques used to reconstruct images or signals from incomplete or noisy data. These algorithms are widely used in various fields, including medical imaging, astronomy, and communications. The primary goal of reconstruction algorithms is to recover the original data with the highest possible accuracy and fidelity.
In medical imaging, for example, reconstruction algorithms are used to create images from data collected by
In astronomy, reconstruction algorithms help in creating high-resolution images of celestial objects from data collected by
In communications, reconstruction algorithms are used in signal processing to recover original signals from corrupted or
Reconstruction algorithms can be broadly categorized into two types: direct methods and iterative methods. Direct methods,
The choice of reconstruction algorithm depends on the specific application, the nature of the data, and the