We propose a new approach to adaptive system identification when the system model is sparse. The approach applies the ℓ1 relaxation, common in compressive sensing, to improve t...
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
It has been shown that the problem of 1-penalized least-square regression commonly referred to as the Lasso or Basis Pursuit DeNoising leads to solutions that are sparse and there...
In this paper we present a new method for image coding that is able to achieve good results over a wide range of image types. This work is based on the Multidimensional Multiscale...
Eduardo A. B. da Silva, Murilo B. de Carvalho, Nun...
Lagrangian minimization is one of the most powerful tools for Rate-Distortion optimal coding mode selection. However, in the latest video compression standard H.264/AVC, the total...