Visible to the public Quantization Effect in Nonuniform Nonsparse Signal Reconstruction

TitleQuantization Effect in Nonuniform Nonsparse Signal Reconstruction
Publication TypeConference Paper
Year of Publication2020
AuthorsStanković, I., Brajović, M., Daković, M., Stanković, L., Ioana, C.
Conference Name2020 9th Mediterranean Conference on Embedded Computing (MECO)
Date Publishedjun
Keywordscomposability, compressive sampling, compressive sensing, Cyber-physical systems, Generalization, Nonuniform sampling, privacy, pubcrawl, quantization, Resiliency
AbstractThis paper examines the influence of quantization on the compressive sensing theory applied to the nonuniformly sampled nonsparse signals with reduced set of randomly positioned measurements. The error of the reconstruction will be generalized to exact expected squared error expression. The aim is to connect the generalized random sampling strategy with the quantization effect, finding the resulting error of the reconstruction. Small sampling deviations correspond to the imprecisions of the sampling strategy, while completely random sampling schemes causes large sampling deviations. Numerical examples provide an agreement between the statistical results and theoretical values.
Citation Keystankovic_quantization_2020