PROCEEDINGS VOLUME 10211
SPIE COMMERCIAL + SCIENTIFIC SENSING AND IMAGING | 9-13 APRIL 2017
Compressive Sensing VI: From Diverse Modalities to Big Data Analytics
Proceedings Volume 10211 is from: Logo
SPIE COMMERCIAL + SCIENTIFIC SENSING AND IMAGING
9-13 April 2017
Anaheim, California, United States
Front Matter: Volume 10211
Proc. SPIE 10211, Front Matter: Volume 10211, 1021101(12 June 2017);doi: 10.1117/12.2280652
Data/Signal Processing with Faulty Measurements
Proc. SPIE 10211, Visual tracking with L1-Grassmann manifold modeling, 1021102(5 May 2017);doi: 10.1117/12.2263691
Proc. SPIE 10211, Characterizing L1-norm best-fit subspaces, 1021103(5 May 2017);doi: 10.1117/12.2263690
Proc. SPIE 10211, L1-norm principal-component analysis in L2-norm-reduced-rank data subspaces, 1021104(5 May 2017);doi: 10.1117/12.2263733
CS for Radar and Optical Imaging
Proc. SPIE 10211, Sparse image reconstruction of targets in multilayered dielectric media using total variation minimization, 1021105(5 May 2017);doi: 10.1117/12.2261777
Proc. SPIE 10211, Sparse recovery for clutter identification in radar measurements, 1021106(5 May 2017);doi: 10.1117/12.2264090
Proc. SPIE 10211, Computational imaging through a fiber-optic bundle, 1021108(5 May 2017);doi: 10.1117/12.2263485
Proc. SPIE 10211, Compressive full waveform lidar, 1021109(5 May 2017);doi: 10.1117/12.2263395
Sparse Representations and Signal Processing II
Proc. SPIE 10211, Real time network traffic monitoring for wireless local area networks based on compressed sensing, 102110L(5 May 2017);doi: 10.1117/12.2261822
Sparse Representations and Signal Processing I
Proc. SPIE 10211, Adaptive sparse-binary waveform design for all-spectrum channelization, 102110B(5 May 2017);doi: 10.1117/12.2262311
Proc. SPIE 10211, Multiplication free neural network for cancer stem cell detection in H-and-E stained liver images, 102110C(5 May 2017);doi: 10.1117/12.2262338
Proc. SPIE 10211, Artifact detection in electrodermal activity using sparse recovery, 102110D(5 May 2017);doi: 10.1117/12.2264027
Proc. SPIE 10211, Superpixel sparse representation for target detection in hyperspectral imagery, 102110E(5 May 2017);doi: 10.1117/12.2262147
Sampling Procedures and Sparse Recovery Algorithms
Proc. SPIE 10211, Performance analysis of sparsity-based interpolation for DOA estimation with non-uniform arrays, 102110F(5 May 2017);doi: 10.1117/12.2263337
Proc. SPIE 10211, A novel hybrid total variation minimization algorithm for compressed sensing, 102110G(5 May 2017);doi: 10.1117/12.2261644
Sparse Representations and Signal Processing II
Proc. SPIE 10211, Performance bounds for modal analysis using sparse linear arrays, 102110I(5 May 2017);doi: 10.1117/12.2268656
Sparse Representations and Signal Processing I
Proc. SPIE 10211, Defect classification in sparsity-based structural health monitoring, 102110A(5 May 2017);doi: 10.1117/12.2262925
Sparse Representations and Signal Processing II
Proc. SPIE 10211, Real-time network traffic classification technique for wireless local area networks based on compressed sensing, 102110M(5 May 2017);doi: 10.1117/12.2267852
Back to Top