Results 31 to 40 of about 14,930 (253)

Sparsity and incoherence in compressive sampling [PDF]

open access: yesInverse Problems, 2007
We consider the problem of reconstructing a sparse signal $x^0\in\R^n$ from a limited number of linear measurements. Given $m$ randomly selected samples of $U x^0$, where $U$ is an orthonormal matrix, we show that $\ell_1$ minimization recovers $x^0$ exactly when the number of measurements exceeds \[ m\geq \mathrm{Const}\cdotμ^2(U)\cdot S\cdot\log n, \]
Candès, Emmanuel, Romberg, Justin
openaire   +3 more sources

On Compressing Collections of Substring Samples. [PDF]

open access: yes, 2022
Peer ...
Golnaz Badkobeh   +3 more
openaire   +1 more source

Non-Cooperative Low-Complexity Detection Approach for FHSS-GFSK Drone Control Signals

open access: yesIEEE 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

Sample Distortion for Compressed Imaging [PDF]

open access: yesIEEE Transactions on Signal Processing, 2013
We propose the notion of a sample distortion (SD) function for independent and identically distributed (i.i.d) compressive distributions to fundamentally quantify the achievable reconstruction performance of compressed sensing for certain encoder-decoder pairs at a given sampling ratio.
Chunli Guo, Mike E. Davies 0001
openaire   +2 more sources

From compressive sampling to compressive tasking: retrieving semantics in compressed domain with low bandwidth

open access: yesPhotoniX, 2022
High-throughput imaging is highly desirable in intelligent analysis of computer vision tasks. In conventional design, throughput is limited by the separation between physical image capture and digital post processing.
Zhihong Zhang   +7 more
doaj   +1 more source

Audio Watermarking Combined with Compressive Sampling Based on QIM and DST-QR Techniques

open access: yesJurnal 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

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan   +18 more
wiley   +1 more source

Compressive Sampling and Feature Ranking Framework for Bearing Fault Classification With Vibration Signals

open access: yesIEEE Access, 2018
Failures of rolling element bearings are amongst the main causes of machines breakdowns. To prevent such breakdowns, bearing health monitoring is performed by collecting data from rotating machines, extracting features from the collected data, and ...
Hosameldin Ahmed, Asoke K. Nandi
doaj   +1 more source

Basis Pursuit With Sparsity Averaging for Compressive Sampling of Iris Images

open access: yesIEEE Access, 2022
This paper proposes novel compressive sampling (CS) of colored iris images using three RGB iterations of basis pursuit (BP) with sparsity averaging (SA), called RGB-BPSA.
Tariq Rahim   +6 more
doaj   +1 more source

Quadrature Compressive Sampling SAR Imaging [PDF]

open access: yesIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
4 pages, 2 figures, submitted to IGARSS ...
Huizhang Yang   +3 more
openaire   +2 more sources

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