Results 251 to 260 of about 48,878 (307)

Time-resolved XPCS analysis across broad time-scales using multi-tau two-time correlations. [PDF]

J Synchrotron Radiat
Brugnara F, Cammarata M, Chushkin Y, Festi I, Granata M, Hofman D, Leonardi M, Marzi D, Nabari D, Trapananti A, Ziglio S, Zontone F, Zanatta M, Baldi G.   +13 more
europepmc   +1 more source

From Pixel Understanding to Semantic Insight: Intelligent Detection in Sensor-Driven Perception Systems. [PDF]

Sensors (Basel)
Xie Q, Wu T, Yang F.
europepmc   +1 more source

Restricted Isometry Constants Where Lp Sparse Recovery Can Fail for 0<p<=1

, 2009
Davies, M.E.; id_orcid, Gribonval, R.
core  

Sparse Signal Representation for Complex-Valued Imaging [PDF]

2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009
We propose a sparse signal representation-based method for complex-valued imaging. Many coherent imaging systems such as synthetic aperture radar (SAR) have an inherent random phase, complex-valued nature. On the other hand sparse signal representation, which has mostly been exploited in real-valued problems, has many capabilities such as ...
Samadi, Sadegh, Çetin, Müjdat, Masnadi-Shirazi, Mohammad Ali   +2 more
openaire   +3 more sources

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Quaternion block sparse representation for signal recovery and classification

Signal Processing, 2021
Abstract This paper presents a quaternion block sparse representation (QBSR) method for structural sparse signal recovery in quaternion space. Due to the noncommutativity of quaternion multiplication, conventional optimization algorithms originally designed for real-valued and complex-valued signal recovery problems are not applicable to the ...
Cuiming Zou, Kit Ian Kou, Yulong Wang
exaly   +2 more sources

LFM signal detection and estimation based on sparse representation

2015 49th Annual Conference on Information Sciences and Systems (CISS), 2015
This paper presents a novel approach for detection and estimation of fundamental parameters of linear frequency modulation (LFM) signals, i.e., the initial frequency and Chirp rate. The proposed approach is based on sparse representation of noisy input signals over two specific dictionaries, each designed for finding a parameter of LFM signal. Moreover,
Mohsen Joneidi, Alireza Zaeemzadeh, Shideh Rezaeifar, Mahdi Abavisani, Nazanin Rahnavard   +4 more
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On sparse signal representations

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
An elementary proof of a basic uncertainty principle concerning pairs of representations of /spl Rscr//sup N/ vectors in different orthonormal bases is provided. The result, slightly stronger than stated before, has a direct impact on the uniqueness property of the sparse representation of such vectors using pairs of orthonormal bases as overcomplete ...
Michael Elad, Alfred M. Bruckstein
openaire   +1 more source

Sampling Graph Signals with Sparse Dictionary Representation

2021 29th European Signal Processing Conference (EUSIPCO), 2021
Graph sampling strategies require the signal to be relatively sparse in an alternative domain, e.g. bandlimitedness for reconstructing the signal. When such a condition is violated or its approximation demands a large bandwidth, the reconstruction often comes with unsatisfactory results even with large samples.
Zhang, Kaiwen (author), Coutino, Mario (author), Isufi, E. (author)   +2 more
openaire   +2 more sources