Fast Singular Value Decomposition Algorithms in Image Processing

The ongoing work at the University of Ljubljana, oriented towards application of Singular Value Decomposition in Digital Signal Processing shall be presented in the following work. It has been shown by many authors that the SVD can be an effective tool in solving problems like signal detection, signal parameter estimation, signal separation, adaptive filtering and equalisation. It has been shown that SVD approach is especially effective for the case of badly conditioned problems, where many other methods became completely unstable.