3 accepted papers
Sparse regularization is being applied to solve indeterminate inverse problems. However, current regularization is unable to manage sparsity and small perturbations at the same time, and does not perform well enough for some applications. In this study, we propose reversed ordered weighted L <inf xm…
Big-data analysis by edge/cloud systems is becoming more important. However, when information may lead to personal identification, such information tends to be encrypted and restricted to its owners to ensure privacy protection. The resulting data is often insufficiently detailed to permit useful an…
The design of an optimum quantizer can be formulated as an optimization problem that finds the quantization indices that minimize the quantization error. One solution of the optimization problem is DP quantization, an approach based on dynamic programming. It is known that a quantized signal does no…