Results 1 to 10 of about 1,448,495 (301)
Performance Analysis of Compressive Sensing based LS and MMSE Channel Estimation Algorithm [PDF]
Journal of Communications Software and Systems, 2021 In this paper, we have developed and implemented Minimum Mean Square Channel Estimation with Compressive Sensing (MMSE-CS) algorithm in MIMO-OFDM systems.
Ami Munshi, Srija Unnikrishnan
doaj +2 more sources
On-Chip Compressive Sensing with a Single-Photon Avalanche Diode Array
Sensors, 2023 Single-photon avalanche diodes (SPADs) are novel image sensors that record photons at extremely high sensitivity. To reduce both the required sensor area for readout circuits and the data throughput for SPAD array, in this paper, we propose a snapshot ...
Chenxi Qiu +6 more
doaj +2 more sources
SPECTRUM SENSING OF WIDE BAND SIGNALS BASED ON ENERGY DETECTION WITH COMPRESSIVE SENSING [PDF]
Journal of Engineering and Sustainable Development, 2020 Compressive sensing (CS) technique is used to solve the problem of high sampling rate with wide band signal spectrum sensing where high speed analogue to digital converter is needed to do that. This leads to difficult hardware implementation, large time
Ali Mohammad A. AL-Hussain +1 more
doaj +4 more sources
Compressive Sensing Hyperspectral Imaging by Spectral Multiplexing with Liquid Crystal
Journal of Imaging, 2018 Hyperspectral (HS) imaging involves the sensing of a scene’s spectral properties, which are often redundant in nature. The redundancy of the information motivates our quest to implement Compressive Sensing (CS) theory for HS imaging.
Yaniv Oiknine +4 more
doaj +2 more sources
Sensors, 2014 Compressive Sensing Imaging (CSI) is a new framework for image acquisition, which enables the simultaneous acquisition and compression of a scene. Since the characteristics of Compressive Sensing (CS) acquisition are very different from traditional image
Xiangwei Li +4 more
doaj +2 more sources
Compressive sensing techniques based on secure data aggregation in WSNs [PDF]
Scientific ReportsThis research paper presents an efficient data collection scheme for Wireless Sensor Networks (WSNs) that simultaneously compresses and encrypts sensor data to extend network lifespan.
Marwa E. Madkour +5 more
doaj +2 more sources
Hierarchical distillation for image compressive sensing reconstruction
Electronics Letters, 2021 Compressive sensing (CS) is an effective algorithm for reconstructing images from a small sample of data. CS models combining traditional optimisation‐based CS methods and deep learning have been used to improve image reconstruction performance. However,
Bokyeung Lee +3 more
doaj +1 more source
An Adaptive Rate Blocked Compressive Sensing Method for Video
Entropy, 2021 An adaptive rate Compressive Sensing (CS) method for video signals is proposed. The Blocked Compressive Sensing (BCS) scheme is adopted in this method. Firstly, each video frame is blocked and measured by the BCS scheme, and then the mean and variance of
Jianming Wang, Jianhua Chen
doaj +1 more source
Data Collection Method in Clustering Sensing Network Based on Compressive Sensing [PDF]
Jisuanji gongcheng, 2018 In order to reduce the cluster sensing network transmissions and prolong network lifetime,this paper proposes a data collection method based on the hybrid Compressive Sensing(CS) technology for clustering Wireless Sensor Network(WSN).It divides the ...
LI Yulong,LIU Renren,ZHAO Jinfeng,ZANG Lang,CAO Bin
doaj +1 more source
A Two-Branch Convolution Residual Network for Image Compressive Sensing
IEEE Access, 2020 Deep learning has made great progress in image compressive sensing (CS) tasks recently, and several CS models based on it have achieved superior performance. In practice, sensing the entire image requires huge memory and computational effort.
Chenquan Gan +3 more
doaj +1 more source