Results 121 to 130 of about 204,120 (332)
A Comparative Study of Audio Compression Based on Compressed Sensing and Sparse Fast Fourier Transform (SFFT): Performance and Challenges [PDF]
arXiv, 2014 Audio compression has become one of the basic multimedia technologies. Choosing an efficient compression scheme that is capable of preserving the signal quality while providing a high compression ratio is desirable in the different standards worldwide.
arxiv
A variant of compressed sensing
Revista Matemática Iberoamericana, 2009 The famous Nyquist-Shannon sampling theorem has been recently improved by A. Olevskii and A. Ulanovskii. The present contribution is aimed at bridging the gap between their advance on irregular sampling and what is named "compressed sensing" in signal processing.
Matei , Basarab, Meyer , Yves
openaire +4 more sources
Advanced Engineering Materials, EarlyView.Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder +6 more
wiley +1 more source
Randomness and isometries in echo state networks and compressed sensing [PDF]
arXiv, 2018 Although largely different concepts, echo state networks and compressed sensing models both rely on collections of random weights; as the reservoir dynamics for echo state networks, and the sensing coefficients in compressed sensing. Several methods for generating the random matrices and metrics to indicate desirable performance are well-studied in ...
arxiv
Compressed sensing - probabilistic analysis of a null-space characterization [PDF]
, 2008 Mihailo Stojnic, Weiyu Xu, Babak Hassibi
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Advanced Engineering Materials, EarlyView.In this research, ZrC coatings are evaluated against various counterprobes at the microscale using novel super‐stiff atomic force microscopy cantilevers. The chemical composition of the coating is shown to be an important factor influencing coating hardness and Young's modulus, while surface roughness, counterprobe hardness, and surface energy are the ...
Piotr Jenczyk +4 more
wiley +1 more source
Image Compression Based on Compressive Sensing: End-to-End Comparison with JPEG [PDF]
IEEE Transactions on Multimedia 2020, 2017 We present an end-to-end image compression system based on compressive sensing. The presented system integrates the conventional scheme of compressive sampling and reconstruction with quantization and entropy coding. The compression performance, in terms of decoded image quality versus data rate, is shown to be comparable with JPEG and significantly ...
arxiv
Advanced Engineering Materials, EarlyView.The influence of oxide nanoparticle synthesis route and concentration on microstructure and high‐temperature performance of additively manufactured oxide dispersion‐strengthened steels is investigated. Comparing laser‐generated and chemically synthesized ZrO2 nanoparticles, the study reveals how dispersion quality, crystal structure and particle size ...
Mareen Goßling +12 more
wiley +1 more source
A Deterministic Construction of Projection matrix for Adaptive Trajectory Compression [PDF]
arXiv, 2013 Compressive Sensing, which offers exact reconstruction of sparse signal from a small number of measurements, has tremendous potential for trajectory compression. In order to optimize the compression, trajectory compression algorithms need to adapt compression ratio subject to the compressibility of the trajectory.
arxiv
DCT and SVD Sparsity-Based Compressive Learning on Lettuces Classification
Journal of Applied Engineering and Technological ScienceCompressive Sensing (CS) technique in image compression represents efficient signal which offering solutions in image classification where the resources are constrained especially on a large image processing, storage resource, and computing performance.
Lutvi Murdiansyah Murdiansyah +4 more
doaj +1 more source