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A systematic review of compressive sensing: Concepts, implementations and applications
M Rani, SB Dhok, RB Deshmukh - IEEE access, 2018 - ieeexplore.ieee.org
Compressive Sensing (CS) is a new sensing modality, which compresses the signal being
acquired at the time of sensing. Signals can have sparse or compressible representation …
acquired at the time of sensing. Signals can have sparse or compressible representation …
A structured review of sparse fast Fourier transform algorithms
E Rajaby, SM Sayedi - Digital Signal Processing, 2022 - Elsevier
Discrete Fourier transform (DFT) implementation requires high computational resources and
time; a computational complexity of order O (N 2) for a signal of size N. Fast Fourier …
time; a computational complexity of order O (N 2) for a signal of size N. Fast Fourier …
Internet of multimedia things: Vision and challenges
Abstract Internet of Things (IoT) systems cannot successfully realize the notion of ubiquitous
connectivity of everything if they are not capable to truly include 'multimedia things' …
connectivity of everything if they are not capable to truly include 'multimedia things' …
Compressed-sensing recovery of images and video using multihypothesis predictions
Compressed-sensing reconstruction of still images and video sequences driven by
multihypothesis predictions is considered. Specifically, for still images, multiple predictions …
multihypothesis predictions is considered. Specifically, for still images, multiple predictions …
Block-based compressed sensing of images and video
A number of techniques for the compressed sensing of imagery are surveyed. Various
imaging media are considered, including still images, motion video, as well as multiview …
imaging media are considered, including still images, motion video, as well as multiview …
Residual reconstruction for block-based compressed sensing of video
A simple block-based compressed-sensing reconstruction for still images is adapted to
video. Incorporating reconstruction from a residual arising from motion estimation and …
video. Incorporating reconstruction from a residual arising from motion estimation and …
Video compressive sensing reconstruction via reweighted residual sparsity
The compressive sensing (CS) theory indicates that robust reconstruction of signals can be
obtained from far fewer measurements than those required by the Nyquist–Shannon …
obtained from far fewer measurements than those required by the Nyquist–Shannon …
Compressed-sensing-enabled video streaming for wireless multimedia sensor networks
S Pudlewski, A Prasanna… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
This paper presents the design of a networked system for joint compression, rate control and
error correction of video over resource-constrained embedded devices based on the theory …
error correction of video over resource-constrained embedded devices based on the theory …
Embedding cryptographic features in compressive sensing
Compressive sensing (CS) has been widely studied and applied in many fields. Recently,
the way to perform secure compressive sensing (SCS) has become a topic of growing …
the way to perform secure compressive sensing (SCS) has become a topic of growing …
Adaptive compressed sampling based on EMD for wireless sensor networks
W Wang, J Chen, Y Zhang, J **a… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Image acquisition and communication in wireless sensor networks (WSNs) are key issues
for some applications that require image sensing. Lowering the sampling rate and reducing …
for some applications that require image sensing. Lowering the sampling rate and reducing …