Results 31 to 40 of about 78,363 (276)
Adaptive compressive sensing of images using error between blocks
Block compressive sensing of image results in blocking artifacts and blurs when reconstructing images. To solve this problem, we propose an adaptive block compressive sensing framework using error between blocks.
Ran Li, Xiaomeng Duan, Yongfeng Lv
doaj +1 more source
Improved Bounds for Universal One-Bit Compressive Sensing
Unlike compressive sensing where the measurement outputs are assumed to be real-valued and have infinite precision, in "one-bit compressive sensing", measurements are quantized to one bit, their signs.
Acharya, Jayadev +2 more
core +1 more source
Compressive Sensing for Spread Spectrum Receivers [PDF]
With the advent of ubiquitous computing there are two design parameters of wireless communication devices that become very important power: efficiency and production cost.
Fyhn, Karsten +3 more
core +2 more sources
In compressive sensing, the basis pursuit algorithm aims to find the sparsest solution to an underdetermined linear equation system. In this paper, we generalize basis pursuit to finding the sparsest solution to higher order nonlinear systems of ...
Dong, Roy +3 more
core +1 more source
Wideband Spectrum Sensing: A Bayesian Compressive Sensing Approach
Sensing the wideband spectrum is an important process for next-generation wireless communication systems. Spectrum sensing primarily aims at detecting unused spectrum holes over wide frequency bands so that secondary users can use them to meet their ...
Youness Arjoune, Naima Kaabouch
doaj +1 more source
Adaptive Temporal Compressive Sensing for Video [PDF]
This paper introduces the concept of adaptive temporal compressive sensing (CS) for video. We propose a CS algorithm to adapt the compression ratio based on the scene's temporal complexity, computed from the compressed data, without compromising the ...
Brady, David J. +6 more
core +3 more sources
A compressive data gathering method based on El Gamal cryptography
As a hot researching area,compressive sensing has advantages in signal process,image processing and data gathering and analysis.How to effectively and safely apply compressive sensing technology to collect data in wireless sensor networks is studied ...
Xiaohan YU +3 more
doaj +2 more sources
Quantization and Compressive Sensing [PDF]
Quantization is an essential step in digitizing signals, and, therefore, an indispensable component of any modern acquisition system. This book chapter explores the interaction of quantization and compressive sensing and examines practical quantization ...
A. Ai +65 more
core +3 more sources
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Robust Binary Fused Compressive Sensing using Adaptive Outlier Pursuit
We propose a new method, {\it robust binary fused compressive sensing} (RoBFCS), to recover sparse piece-wise smooth signals from 1-bit compressive measurements. The proposed method is a modification of our previous {\it binary fused compressive sensing}
Figueiredo, Mário A. T. +1 more
core +1 more source

