Results 71 to 80 of about 243,195 (329)
Distributed Compressive Sensing
, 2009 42 pages, 6 figures.
Michael B. Wakin +4 more
openaire +2 more sources
Intracellular protein crystallization in living insect cells
FEBS Open Bio, EarlyView.This research protocol provides a step‐by‐step guide for applying the InCellCryst pipeline for intracellular protein crystallization. After gene cloning and generation of recombinant baculoviruses, High Five insect cells are infected for target protein crystallization.
Robert Schönherr +8 more
wiley +1 more source
, 2008 Compressed Sensing aims to capture attributes of $k$-sparse signals using very few measurements. In the standard Compressed Sensing paradigm, the $\m\times \n$ measurement matrix $\A$ is required to act as a near isometry on the set of all $k$-sparse ...
Calderbank, Robert +2 more
core +3 more sources
Denoising-Based Turbo Compressed Sensing
IEEE Access, 2017 Turbo compressed sensing (Turbo-CS) is an efficient iterative algorithm for sparse signal recovery with partial orthogonal sensing matrices. In this paper, we extend the Turbo-CS algorithm to solve compressed sensing problems involving a more general ...
Zhipeng Xue, Junjie Ma, Xiaojun Yuan
doaj +1 more source
Deterministic Construction of Compressed Sensing Matrices via Vector Spaces Over Finite Fields
IEEE Access, 2020 Compressed Sensing (CS) is a new signal processing theory under the condition that the signal is sparse or compressible. One of the central problems in compressed sensing is the construction of sensing matrices.
Xuemei Liu, Lihua Jia
doaj +1 more source
Routine machine quality assurance tests for a self‐shielded gyroscopic radiosurgery system
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose This report describes routine machine quality assurance (QA) (daily, monthly, and annual QA) tests for the Zap‐X® Gyroscopic Radiosurgery® platform. Methods Following the recommendations of the American Association of Physicists in Medicine Task Group (AAPM TG)‐142 and Medical Physics Practice guideline (MPPG) 8.b, routine machine QA ...
Yongsook C. Lee +6 more
wiley +1 more source
Dictionary Learning for Blind One Bit Compressed Sensing
, 2015 This letter proposes a dictionary learning algorithm for blind one bit compressed sensing. In the blind one bit compressed sensing framework, the original signal to be reconstructed from one bit linear random measurements is sparse in an unknown domain ...
Korki, Mehdi +2 more
core +1 more source
Compressed sensing in fluorescence microscopy
Progress in Biophysics and Molecular Biology, 2022 Compressed sensing (CS) is a signal processing approach that solves ill-posed inverse problems, from under-sampled data with respect to the Nyquist criterium. CS exploits sparsity constraints based on the knowledge of prior information, relative to the structure of the object in the spatial or other domains.
Calisesi G. +6 more
openaire +6 more sources
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose The goal of this study was to assess the feasibility of a cost‐effective prototype of a laser‐based respiratory motion detection system utilizing a Leuze LDS for breath monitoring through calibration and volunteer tests. Methods This study was performed using the Anzai AZ‐773 V and computerized imaging reference systems (CIRS) motion ...
Isnaini Nur Islami +6 more
wiley +1 more source
Patient setup variation on Elekta Unity and its impact on adaptive planning
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose The unique design of the MR‐linac may restrict the use of effective immobilization devices, resulting in significant patient setup variations (PSVs). The purpose of this study is to analyze the PSVs on the Elekta Unity system and investigate their impact on adaptive planning.
Maggie Yan +9 more
wiley +1 more source