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Sub-Nyquist sampling-based wideband spectrum sensing: a compressed power spectrum estimation approach
In this paper, we introduce a sub-Nyquist sampling-based receiver architecture and method for wideband spectrum sensing. Instead of recovering the...
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A link prediction method based on compressed sensing for social networks
Link prediction is an important task in social network analysis, with the goal of evaluating the possibility of forming links between node pairs. In...
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GSISTA-Net: generalized structure ISTA networks for image compressed sensing based on optimized unrolling algorithm
Image compressed sensing technology, particularly algorithm unrolling networks, has garnered significant attention in the field of compressed sensing...
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Visual image encryption based on compressed sensing and Cycle-GAN
At present, most image encryption schemes directly change plaintext images into ciphertext images without visual significance, and such ciphertext...
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Compressed sensing based fingerprint imaging system using a chaotic model-based deterministic sensing matrix
A secured compressed sensing (CS) systems design approach uses a novel deterministic sensing matrix to sense and transmit fingerprint images. The...
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A visually meaningful secure image encryption algorithm based on conservative hyperchaotic system and optimized compressed sensing
Aiming at the traditional schemes for encrypting and transmitting images can be subject to arbitrary destruction by attackers, making it difficult...
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Compressed sensing based visually secure multi-secret image encryption-sharing scheme
The existing encryption schemes of visually secure image have drawbacks, such as excessive concentration of image data and insufficient resistance to...
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An optimal adaptive reweighted sampling-based adaptive block compressed sensing for underwater image compression
The use of Block Compressed Sensing (BCS) as an alternative to conventional Compressed Sensing (CS) in image sampling and acquisition has gained...
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Prior-based privacy-assured compressed sensing scheme in cloud
Compressed sensing (CS) is a popular signal processing technique. However, some of its performances still need to be improved for possible secure...
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A modified column block Toeplitz matrix for compressed sensing
In block-sparse-based compressed sensing, a block of indices is recovered from a non-adaptive random sample, which requires less computational time....
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Design and development of compressed video sensing technique using shuffled sailfish optimization algorithm
In recent days, compressive video sensing combined both compression and video sensing into a single process, and has gained immense popularity in...
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Soft threshold iteration-based anti-noise compressed sensing image reconstruction network
Optical images of artificial satellites can provide wide-range geographic information, but their large amount of information and severe noise...
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Novel zero-watermarking method using the compressed sensing significant feature
In this paper, we proposed a novel zero- watermarking method using the compressed sensing (CS) significant feature. The original image is segmented...
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Compressed sensing: a discrete optimization approach
We study the Compressed Sensing (CS) problem, which is the problem of finding the most sparse vector that satisfies a set of linear measurements up...
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A low-overhead compressed sensing-driven multi-party secret image sharing scheme
A single multimedia image encryption scheme cannot well overcome the insecurity factors such as data loss and noise influence in the network channel....
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A double-embedding hidden image encryption and authentication scheme based on compressed sensing and double random phase encoding
The image may be maliciously tampered when transmitted on the shared platform, and the receiver cannot determine whether the received image is a true...
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Security Compressed Sensing Image Encryption Algorithm Based on Elliptic Curve
Aiming to address the problems of high costs associated with the storage and transmission of environmental monitoring images, as well as potential...
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ComSense-CNN: acoustic event classification via 1D convolutional neural network with compressed sensing
Sound plays an important role in human daily life as humans use sound to communicate with each other and to understand the events occurring in the...
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Deep Physics-Guided Unrolling Generalization for Compressed Sensing
By absorbing the merits of both the model- and data-driven methods, deep physics-engaged learning scheme achieves high-accuracy and interpretable...
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A High-Quality Video Reconstruction Optimization System Based on Compressed Sensing
The video compression sensing method based on multi hypothesis has attracted extensive attention in the research of video codec with limited...