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Compressed sensing for wireless communications: Useful tips and tricks
As a paradigm to recover the sparse signal from a small set of linear measurements,
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …
African migration: trends, patterns, drivers
Africa is often seen as a continent of mass migration and displacement caused by poverty,
violent conflict and environmental stress. Yet such perceptions are based on stereotypes …
violent conflict and environmental stress. Yet such perceptions are based on stereotypes …
Channel estimation via orthogonal matching pursuit for hybrid MIMO systems in millimeter wave communications
We propose an efficient open-loop channel estimator for a millimeter-wave (mm-wave)
hybrid multiple-input multiple-output (MIMO) system consisting of radio-frequency (RF) …
hybrid multiple-input multiple-output (MIMO) system consisting of radio-frequency (RF) …
[کتاب][B] An invitation to compressive sensing
This first chapter formulates the objectives of compressive sensing. It introduces the
standard compressive problem studied throughout the book and reveals its ubiquity in many …
standard compressive problem studied throughout the book and reveals its ubiquity in many …
Image super-resolution via sparse representation
This paper presents a new approach to single-image superresolution, based upon sparse
signal representation. Research on image statistics suggests that image patches can be well …
signal representation. Research on image statistics suggests that image patches can be well …
Robust face recognition via sparse representation
We consider the problem of automatically recognizing human faces from frontal views with
varying expression and illumination, as well as occlusion and disguise. We cast the …
varying expression and illumination, as well as occlusion and disguise. We cast the …
Compressed sensing with coherent and redundant dictionaries
This article presents novel results concerning the recovery of signals from undersampled
data in the common situation where such signals are not sparse in an orthonormal basis or …
data in the common situation where such signals are not sparse in an orthonormal basis or …
A compressive sensing-based approach to end-to-end network traffic reconstruction
Estimation of end-to-end network traffic plays an important role in traffic engineering and
network planning. The direct measurement of a network's traffic matrix consumes large …
network planning. The direct measurement of a network's traffic matrix consumes large …
Ranking-based locality sensitive hashing-enabled cancelable biometrics: Index-of-max hashing
In this paper, we propose a ranking-based locality sensitive hashing inspired two-factor
cancelable biometrics, dubbed “Index-of-Max”(IoM) hashing for biometric template …
cancelable biometrics, dubbed “Index-of-Max”(IoM) hashing for biometric template …
[کتاب][B] Sparse image and signal processing: wavelets, curvelets, morphological diversity
This book presents the state of the art in sparse and multiscale image and signal processing,
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and …
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and …