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An image-based quantized compressive sensing scheme using Zadoff–Chu measurement matrix
In this paper, a complex-valued Zadoff–Chu measurement matrix is proposed and used in
an image-based quantized compressive sensing (CS) scheme. The results of theoretical …
an image-based quantized compressive sensing (CS) scheme. The results of theoretical …
Image denoising using RANSAC and compressive sensing
Image denoising is a vital image processing phase aiming to improve the quality of images
and to make them more informative. In this paper, we propose a blind denoising approach …
and to make them more informative. In this paper, we propose a blind denoising approach …
RANSAC-based signal denoising using compressive sensing
In this paper, we present an approach to the reconstruction of signals exhibiting sparsity in a
transformation domain, having some heavily disturbed samples. This sparsity-driven signal …
transformation domain, having some heavily disturbed samples. This sparsity-driven signal …
Image compression based on near lossless predictive measurement coding for block-based compressive sensing
Smart devices for image/video sensing are needed to work within the constraints of limited
bandwidth and low computing capabilities. In this context, Block based Compressive …
bandwidth and low computing capabilities. In this context, Block based Compressive …
[HTML][HTML] Linear Continuous-Time Regression and Dequantizer for Lithium-Ion Battery Cells with Compromised Measurement Quality
Battery parameter identification is a key challenge for battery management systems, as
parameterizing lithium-ion batteries is resource-intensive. Electrical circuit models (ECMs) …
parameterizing lithium-ion batteries is resource-intensive. Electrical circuit models (ECMs) …
Recovery performance improvement of image compressive sensing using complex‐valued Vandermonde matrix
Here, a novel image‐based quantized compressive sensing (QCS) framework based on
complex‐valued Vandermonde (Vander) matrix is proposed. In the proposed QCS …
complex‐valued Vandermonde (Vander) matrix is proposed. In the proposed QCS …
Improved coherence index-based bound in compressive sensing
Within the compressive sensing (CS) paradigm, sparse signals can be reconstructed based
on a reduced set of measurements, whereby reliability of the solution is determined by its …
on a reduced set of measurements, whereby reliability of the solution is determined by its …
Sparse analyzer tool for biomedical signals
The virtual (software) instrument with a statistical analyzer for testing algorithms for
biomedical signals' recovery in compressive sensing (CS) scenario is presented. Various …
biomedical signals' recovery in compressive sensing (CS) scenario is presented. Various …
[PDF][PDF] Linear Continuous-Time Parameter Regressor and Dequantizer For Lithium-Ion Battery Cells with Compromised Measurement Quality
Battery parameter identification is a main challenge to battery management systems today.
The parameterization of electrochemical processes in lithium-ion battery cells is both …
The parameterization of electrochemical processes in lithium-ion battery cells is both …
[HTML][HTML] Automated firmware generation for compressive sensing on heterogeneous hardware
In this paper, a model-based firmware generator is presented towards complex sampling
schemes. The framework is capable of automatically generating a fixed-rate Shannon …
schemes. The framework is capable of automatically generating a fixed-rate Shannon …