Compressive Parameter Estimation for Sparse Translation-Invariant Signals Using Polar Interpolation [PDF]
, 2015 We propose new compressive parameter estimation algorithms that make use of polar interpolation to improve the estimator precision. Our work extends previous approaches involving polar interpolation for compressive parameter estimation in two aspects: (i)
Duarte, Marco F. +2 more
core +3 more sources
Nearfield Acoustic Holography using sparsity and compressive sampling principles [PDF]
, 2012 Regularization of the inverse problem is a complex issue when using Near-field Acoustic Holography (NAH) techniques to identify the vibrating sources.
Bertin, Nancy +5 more
core +5 more sources
Improved Compressive Sensing Of Natural Scenes Using Localized Random Sampling [PDF]
, 2016 Compressive sensing (CS) theory demonstrates that by using uniformly-random sampling, rather than uniformly-spaced sampling, higher quality image reconstructions are often achievable.
Barranca, Victor J. +3 more
core +3 more sources
Compressive image sensor architecture with on-chip measurement matrix generation [PDF]
, 2017 A CMOS image sensor architecture that uses a cellular automaton for the pseudo-random compressive sampling matrix generation is presented. The image sensor employs in-pixel pulse-frequency modulation and column wise pulse counters to produce compressed ...
Carmona Galán, Ricardo +2 more
core +1 more source
Compressive Sampling for Array Cameras [PDF]
SIAM Journal on Imaging Sciences, 2021 While design of high-performance lenses and image sensors has long been the focus of camera development, the size, weight, and power of image data processing components are currently the primary ba...
Xuefei Yan +8 more
openaire +1 more source
Sample Compression Schemes for VC Classes [PDF]
Journal of the ACM, 2016 Sample compression schemes were defined by Littlestone and Warmuth (1986) as an abstraction of the structure underlying many learning algorithms. Roughly speaking, a sample compression scheme of size k means that given an arbitrary list of labeled examples, one can retain only k of them in a ...
Moran, S., Yehudayoff, A.
openaire +3 more sources
Compressed sampling strategies for tomography
Journal of the Optical Society of America A, 2014 We investigate new sampling strategies for projection tomography, enabling one to employ fewer measurements than expected from classical sampling theory without significant loss of information. Inspired by compressed sensing, our approach is based on the understanding that many real objects are compressible in some known representation, implying that ...
Kaganovsky, Yan +8 more
openaire +3 more sources
Non-Cooperative Low-Complexity Detection Approach for FHSS-GFSK Drone Control Signals
IEEE Open Journal of the Communications Society, 2020 The commercial drone market has substantially grown over the past few years. While providing numerous advantages in various fields and applications, drones also provide ample opportunities for misuse by irresponsible hobbyists or malevolent actors.
Dan Mototolea +3 more
doaj +1 more source
Efficient Compressive Sampling of Spatially Sparse Fields in Wireless Sensor Networks [PDF]
, 2013 Wireless sensor networks (WSN), i.e. networks of autonomous, wireless sensing nodes spatially deployed over a geographical area, are often faced with acquisition of spatially sparse fields.
Colonnese, Stefania +4 more
core +2 more sources
Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques
Jurnal Elektronika dan Telekomunikasi, 2019 Abuse is not only done to copy or distribute data but also to the digital copyright labels. There is a way to protect data by inserting or hiding a piece of certain information, namely a watermarking technique.
Irma Safitri +2 more
doaj +1 more source