Sparse Approximation Methods and Their Parallel Implementation

  1. Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS

The article is devoted to a new approach in the analysis of geoacoustic pulses. The authors proposed a mathematical model based on a sparse representation of the signal. An adaptive matching pursuit method has been developed to identify model parameters. A parallel implementation of this algorithm is proposed on the CUDA (Compute Unified Device Architecture) platform. This allows real-time processing and modeling of signals.

Kim A.A., Lukovenkova O.O., Marapulets Yu.V., Tristanov A.B. Sparse Approximation Methods and Their Parallel Implementation // 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC). 2018. 5 pp.