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Signal reconstruction
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71	SHANNON SAMPLING AND FUNCTION RECONSTRUCTION FROM POINT VALUES STEVE SMALE AND DING-XUAN ZHOU Dedicated to the memory of Ren´ e Thom Add to Reading List Source URL: www6.cityu.edu.hk Language: English - Date: 2012-09-11 23:37:56 Functional analysis Digital signal processing Integral transforms Signal processing Nyquist–Shannon sampling theorem Fourier transform Discretization Convolution Gaussian function Mathematical analysis Mathematics Fourier analysis
72	REMODE: Probabilistic, Monocular Dense Reconstruction in Real Time Matia Pizzoli, Christian Forster and Davide Scaramuzza1 Abstract— In this paper, we solve the problem of estimating dense and accurate depth maps from Add to Reading List Source URL: rpg.ifi.uzh.ch Language: English - Date: 2014-04-23 12:20:21 Data analysis Probability theory Variance Match moving Estimation theory Measurement uncertainty Optical flow Super-resolution Statistics Signal processing Measurement
73	Microsoft Word - IP00300 Summary[removed] Add to Reading List Source URL: www.versitech.hku.hk Language: English Electronics Analog-to-digital converter Analog Devices Sampling Reconstruction filter SHA Filter design Time stretch analog-to-digital converter Electronic engineering Digital signal processing Electromagnetism
74	Microsoft Word - IP00300 Summary[removed] Add to Reading List Source URL: www.tto.hku.hk Language: English Electronics Analog-to-digital converter Analog Devices Sampling Reconstruction filter SHA Filter design Time stretch analog-to-digital converter Electronic engineering Digital signal processing Electromagnetism
75	2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing Reconstruction of a Generalized Joint Sparsity Model Using Principal Component Analysis Alireza Makhzani Add to Reading List Source URL: www.comm.utoronto.ca Language: English - Date: 2011-12-23 17:11:10 Signal processing Multivariate statistics Linear algebra Singular value decomposition Information theory Compressed sensing Matching pursuit Principal component analysis Sparse approximation Algebra Mathematics Statistics
76	Journal of X-Ray Science and Technology[removed]–270 DOI[removed]XST[removed]IOS Press 253 Add to Reading List Source URL: www.creatis.insa-lyon.fr Language: English - Date: 2014-04-25 05:47:19 X-ray computed tomography Signal processing Image processing Iterative reconstruction Medical physics Deconvolution Single-photon emission computed tomography Computed tomography of the heart Radon transform Medicine Medical imaging Radiology
77	Deconvolution of 3D Fluorescence Microscopy Images by Combining the Filtered Gerchberg-Papoulis and Richardson-Lucy Algorithms Moacir P. Ponti-Junior Nelson D.A. Mascarenhas Marcelo R. Zorzan Claudio A.T. Suazo Add to Reading List Source URL: www.lbd.dcc.ufmg.br Language: English - Date: 2012-08-06 19:12:10 Science Digital signal processing Physical optics Deconvolution Athanasios Papoulis Super-resolution Iterative reconstruction Microscopy Fourier optics Image processing Signal processing Optics
78	REAL-TIME DYNAMIC MR IMAGE RECONSTRUCTION USING KALMAN FILTERED COMPRESSED SENSING Chenlu Qiu, Wei Lu and Namrata Vaswani Dept. of Electrical and Computer Engineering, Iowa State University, Ames, IA, {chenlu, luwei, nam Add to Reading List Source URL: home.engineering.iastate.edu Language: English - Date: 2008-09-29 21:34:06 Linear algebra Signal processing Numerical linear algebra Digital signal processing Fourier analysis Compressed sensing Sparse approximation Discrete Fourier transform Matrix Mathematical analysis Mathematics Algebra
79	Digitales Video 5. ANTI-ALIASING 5.1. INTRODUCTION The geometric transformation of digital images is inherently a sampling process. As with all sampled data, digital images are susceptible to aliasing artifacts. This ch Add to Reading List Source URL: www.ldv.ei.tum.de Language: English - Date: 2013-11-26 07:06:06 Computer graphics Applied mathematics Linear filters Digital typography Spatial anti-aliasing Supersampling Reconstruction filter Mipmap Image scaling Digital signal processing Image processing Signal processing
80	1943 CS-SENSE or Denoised SENSE: The Influence of Irregular Sampling in l1 Regularized SENSE Reconstruction Mariya Doneva1, Holger Eggers1, and Peter Börnert1 1 Philips Research Europe, Hamburg, Germany Add to Reading List Source URL: repository.tudelft.nl Language: English Applied mathematics Compressed sensing Sampling Iterative reconstruction K-space Undersampling Image noise Inverse problem Signal processing Telecommunications engineering Mathematics

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