Design of Adaptive Algorithms for Generalied Eigen-Decomposition of Signals Having Sparse Representations

<p dir="ltr">In this research, after reviewing the background and some existing algorithms for case-based classification, we propose the application of some of these algorithms for the classification of sparse signals, focusing on optimization. Several new algorithms have also been developed for this purpose, which we will analyze and evaluate. Furthermore, we will study the performance of the optimized or newly developed algorithms in real-world applications on sparse signals and demonstrate that their outputs are indeed very suitable in practice.</p>