ISAC

New Paper: Compressed sensing for efficient encoding of dense 3D meshes using model-based Bayesian learning
This research develops a model-based Bayesian learning approach to efficiently encode dense 3D meshes using compressed sensing, achieving higher compression ratios while preserving visual quality.
Jan 1, 2017 1 min read Paper
New Paper: Compressed sensing techniques for decision feedback equalization of sparse wireless channels
A novel application of compressed sensing techniques significantly improves decision feedback equalization of sparse wireless channels by exploiting filter sparsity.
May 1, 2012 1 min read Paper