项目作者: kvdomingo

项目描述 :
Thesis research on compressed sensing
高级语言: Python
项目地址: git://github.com/kvdomingo/VIP-CSI.git
创建时间: 2019-06-12T09:34:08Z
项目社区:https://github.com/kvdomingo/VIP-CSI

开源协议:GNU General Public License v3.0

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Aasha Nandhini, Sankararajan, Rajendiran - 2015 - Video Compressed Sensing framework for Wireless Multimedia Sensor Networks using a com_1649643134836.pdf
Abrol (2015) - Voiced-nonvoiced detection in compressively sensed speech signals_1649643134999.pdf
Abrol, Sharma, Sao - 2015 - Voicednonvoiced detection in compressively sensed speech signals_1649643135124.pdf
Aghajari, Teshnehlab, Jahed Motlagh - 2015 - A novel chaotic hetero-associative memory_1649643135198.pdf
Al-Sharif (2017) - Live forensics of software attacks on cyber-physical systems_1649643135314.pdf
Al-Sharif et al. - 2018 - Live forensics of software attacks on cyber–physical systems_1649643135595.pdf
Andras (2018) - A time domain reconstruction method of randomly sampled frequency sparse signal_1649643135734.pdf
Andrew (2007) - Scalable training of L1-regularized log-linear models_1649643135889.pdf
Andrew, Gao - 2007 - Scalable training of L1-regularized log-linear models_1649643136069.pdf
Andrychowicz et al. - 2016 - Learning to learn by gradient descent by gradient descent_1649643136218.pdf
Andráš et al. - 2018 - A time domain reconstruction method of randomly sampled frequency sparse signal(2)_1649643136360.pdf
Andráš et al. - 2018 - A time domain reconstruction method of randomly sampled frequency sparse signal_1649643136559.pdf
Arun Sankar (2019) - A scalable speech coding scheme using compressive sensing and orthogonal mapping based vector quantization_1649643136635.pdf
Candes, Tao - 2006 - Near-optimal signal recovery from random projections Universal encoding strategies_1649643136800.pdf
Candes, Wakin - 2008 - An introduction to compressive sampling A sensingsampling paradigm that goes against the common knowledge in data_1649643136962.pdf
Candès, Romberg, Tao - 2006 - Robust uncertainty principles Exact signal reconstruction from highly incomplete frequency information_1649643137011.pdf
Candès, Romberg, Tao - 2006 - Stable signal recovery from incomplete and inaccurate measurements_1649643137079.pdf
Candès, Wakin, Boyd - 2008 - Enhancing sparsity by reweighted L1 minimization_1649643137109.pdf
Chai (2018) - An image encryption algorithm based on chaotic system and compressive sensing_1649643137196.pdf
Chai et al. - 2018 - An image encryption algorithm based on chaotic system and compressive sensing_1649643137393.pdf
Chen (2014) - Residual distributed compressive video sensing based on double side information_1649643137485.pdf
Chen (2017) - Exploiting chaos-based compressed sensing & cryptographic algorithm for image encryption and compression_1649643137801.pdf
Chen (2017) - Exploiting chaos-based compressed sensing _ cryptographic algorithm for image encryption and compression_1649643138048.pdf
Chen (2017) - Tensor compressed video sensing reconstruction by combination of fractional-order total variation and sparsifying transform_1649643138127.pdf
Chen et al. - 2014 - Residual distributed compressive video sensing based on double side information_1649643138315.pdf
Chen et al. - 2018 - Exploiting chaos-based compressed sensing and cryptographic algorithm for image encryption and compression_1649643138462.pdf
Chen, Li, Zhang - 2017 - Tensor compressed video sensing reconstruction by combination of fractional-order total variation and sparsifyi_1649643138642.pdf
Cho et al. - 2014 - Learning phrase representations using RNN encoder-decoder for statistical machine translation_1649643138720.pdf
Cross (2008) - Falls from a height_1649643138881.pdf
Cross - 2008 - Forensic Physics 101 Falls from a height_1649643139007.pdf
Cui, Chen, Yin - 2020 - Speech enhancement based on simple recurrent unit network_1649643139048.pdf
Dabov (2007) - Image denoising by sparse 3D transform-domain collaborative filtering_1649643139468.pdf
Dabov et al. - 2007 - Image denoising by sparse 3-D transform-domain collaborative filtering_1649643139947.pdf
Domingo, Soriano - 2019 - Frequency domain reconstruction of stochastically sampled signals based on compressive sensing_1649643140137.pdf
Donoho - 2006 - Compressed sensing_1649643140302.pdf
Donoho - 2006 - For most large underdetermined systems of linear equations the minimal L1-norm solution is also the sparsest solution_1649643140343.pdf
Donoho, Elad - 2003 - Optimally sparse representation in general (nonorthogonal) dictionaries via L1 minimization_1649643140432.pdf
Donoho, Elad, Temlyakov - 2006 - Stable recovery of sparse overcomplete representations in the presence of noise_1649643140479.pdf
Donoho, Huo - 2001 - Uncertainty principles and ideal atomic decomposition_1649643140529.pdf
Du (2019) - Fully convolutional measurement network for compressive sensing image reconstruction_1649643140760.pdf
Du et al. - 2019 - Fully convolutional measurement network for compressive sensing image reconstruction_1649643141054.pdf
Eslahi (2016) - Image-video compressive sensing recovery using joint adaptive sparsity measure_1649643141626.pdf
Eslahi, Aghagolzadeh, Andargoli - 2016 - Imagevideo compressive sensing recovery using joint adaptive sparsity measure_1649643142348.pdf
Esmi, Sussner, Sandri - 2016 - Tunable equivalence fuzzy associative memories_1649643142649.pdf
Gan (2018) - A large class of chaotic sensing matrices for CS_1649643142849.pdf
Gan (2018) - Construction of efficient and structural chaotic sensing matrix for CS_1649643142946.pdf
Gan et al. - 2018 - Construction of efficient and structural chaotic sensing matrix for compressive sensing_1649643143095.pdf
Gan, Xiao, Zhao - 2018 - A large class of chaotic sensing matrices for compressed sensing_1649643143240.pdf
Genee et al. - 2015 - Software-supported user cloning strategies for site-directed mutagenesis and DNA assembly_1649643143362.pdf
Goodfellow et al. - 2014 - Generative Adversarial Networks_1649643143457.pdf
Harms (2011) - A constained random demodulator for sampling of sparse bandlimited signals_1649643143634.pdf
Harms, Bajwa, Calderbank - 2011 - Beating Nyquist through correlations A constrained random demodulator for sampling of sparse bandlimit_1649643143682.pdf
Hopfield - 1982 - Neural networks and physical systems with emergent collective computational abilities_1649643143720.pdf
Hou et al. - 2019 - Improving variational autoencoder with deep feature consistent and generative adversarial training_1649643143996.pdf
Huang (2017) - Frequency estimation of multiple sinusoids with three sub-Nyquist channels_1649643144310.pdf
Huang et al. - 2017 - Frequency estimation of multiple sinusoids with three sub-Nyquist channels_1649643144440.pdf
Iliadis (2018) - Deep fully-connected networks for video compressive sensing_1649643144566.pdf
Iliadis, Spinoulas, Katsaggelos - 2018 - Deep fully-connected networks for video compressive sensing_1649643144888.pdf
Iliadis, Spinoulas, Katsaggelos - 2020 - DeepBinaryMask Learning a binary mask for video compressive sensing_1649643145094.pdf
Jin et al. - 2017 - Hyperspectral imaging using the single-pixel Fourier transform technique_1649643145384.pdf
Jokic, Vukovic - 2019 - License Plate Recognition with Compressive Sensing Based Feature Extraction_1649643145528.pdf
Joseph, Devi, Kumar - 2016 - Compressive Sensing Based Underwater Communication System_1649643145552.pdf
Karampidis (2018) - A review of image steganalysis techniques for digital forensics_1649643145808.pdf
Karampidis, Kavallieratou, Papadourakis - 2018 - A review of image steganalysis techniques for digital forensics_1649643146073.pdf
Karjol, Kumar, Ghosh - 2018 - Speech enhancement using multiple deep neural networks_1649643146204.pdf
Kettisen et al. - 2018 - Site-directed mutagenesis of cysteine residues alters oxidative stability of fetal hemoglobin_1649643146224.pdf
Kobayashi - 2017 - Chaotic pseudo-orthogonalized Hopfield associative memory_1649643146344.pdf
Kucera (2018) - Hair elemental analysis for forensic science using nuclear and related analytical methods_1649643146470.pdf
Kumar, Florencio - 2016 - Speech enhancement in multiple-noise conditions using deep neural networks_1649643146606.pdf
Kučera, Kameník, Havránek - 2018 - Hair elemental analysis for forensic science using nuclear and related analytical methods_1649643146669.pdf
Larkin - 2016 - Reflections on Shannon Information In search of a natural information-entropy for images_1649643146828.pdf
LeCun (2015) - Deep learning_1649643146950.pdf
Lecun, Bengio, Hinton - 2015 - Deep learning_1649643147218.pdf
Leung, Sum, Constantinides - 2014 - Recurrent networks for compressive sampling_1649643147254.pdf
Li (2018) - Energy-efficient _ secure transmission scheme based on chaotic compressive sensing in underwater wireless sensor networks_1649643147401.pdf
Li et al. - 2018 - Energy-efficient and secure transmission scheme based on chaotic compressive sensing in underwater wireless sensor ne_1649643147646.pdf
Li, Chen, Wang - 2018 - Quantum Image Compression-Encryption Scheme Based on Quantum Discrete Cosine Transform_1649643147778.pdf
Li, Wei - 2016 - Signal reconstruction of compressed sensing based on recurrent neural networks_1649643147935.pdf
Lima et al. - 2020 - GLYCOSYLATION OF L-ASPARAGINASE FROM emE.coliem THROUGH YEAST EXPRESSION AND SITE-DIRECTED MUTAGENESIS_1649643148060.pdf
Lin et al. - 2009 - Digital image source coder forensics via intrinsic fingerprints_1649643148210.pdf
Lin et al. - 2016 - Site-directed mutagenesis of a conserved Asn450 residue of Bacillus licheniformis γ-glutamyltranspeptidase_1649643148451.pdf
Linh-Trung (2008) - Compressed sensing using chaos filters_1649643148631.pdf
Linh-Trung et al. - 2008 - Compressed sensing using chaos filters_1649643148723.pdf
Liu (2013) - Dictionary learning based reconstruction for distributed compressed video sensing_1649643148763.pdf
Liu (2014) - Principal component analysis algorithm in video compressed sensing_1649643148863.pdf
Liu (2016) - A neural network for l1-l2 minimization based on scaled gradient projection_1649643149019.pdf
Liu et al. - 2013 - Dictionary learning based reconstruction for distributed compressed video sensing_1649643149153.pdf
Liu et al. - 2014 - Principal component analysis algorithm in video compressed sensing_1649643149193.pdf
Liu, Gong, He - 2019 - Deep associative neural network for associative memory based on unsupervised representation learning_1649643149243.pdf
Liu, Hu - 2016 - A neural network for ℓ1-ℓ2 minimization based on scaled gradient projection Application to compressed sensing_1649643149385.pdf
Lotfi (2018) - A fast noniterative algorithm for CS using binary measurement matrices_1649643149400.pdf
Lotfi, Vidyasagar - 2018 - A fast noniterative algorithm for compressive sensing using binary measurement matrices_1649643149507.pdf
Low (2018) - Compressive speech enhancement in the modulation domain_1649643149548.pdf
Low - 2018 - Compressive speech enhancement in the modulation domain_1649643149701.pdf
Low, Pham, Venkatesh - 2013 - Compressive speech enhancement_1649643149740.pdf
Lu, Chen - 2015 - Compressive image sensing for fast recovery from limited samples A variation on compressive sensing_1649643149951.pdf
Luo et al. - 2019 - Adaptive Gradient Methods with Dynamic Bound of Learning Rate_1649643150105.pdf
Mallat (1993) - Matching Pursuits with Time-Frequency Dictionaries_1649643150216.pdf
Mallat - 1994 - Adaptive time-frequency decompositions_1649643150617.pdf
Mallat, Zhang - 1993 - Matching Pursuits With Time-Frequency Dictionaries_1649643150706.pdf