two-dimensional convolution with a 50-point gaussian distribution window (MathWorks Inc)
90
Structured Review
MathWorks Inc
two-dimensional convolution with a 50-point gaussian distribution window
Two Dimensional Convolution With A 50 Point Gaussian Distribution Window, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/two+dimensional+convolution/pmc03457078-90-10-18
Average 90 stars, based on 1 article reviews
Two Dimensional Convolution With A 50 Point Gaussian Distribution Window, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/two+dimensional+convolution/pmc03457078-90-10-18
Average 90 stars, based on 1 article reviews
two-dimensional convolution with a 50-point gaussian distribution window - by Bioz Stars,
2026-10
90/100 stars
Images
Related Articles
other:Article Title: Tray inserts and image quality, systems, methods and algorithm for quantifying tray's impact using the same Article Snippet: This type of calculation is typically achieved with a linear convolution of two one-dimensional Article Title: Coordinate-targeted fluorescence nanoscopy with multiple off states Article Snippet: Far-field super-resolution fluorescence microscopy discerns fluorophores residing closer than the diffraction barrier by briefly transferring them in different (typically ON and OFF) states before detection.. In coordinate-targeted superresolution variants, such as stimulated emission depletion (STED) microscopy, this state difference is created by the intensity minima and maxima of an optical pattern, causing all fluorophores to assume the off state, for instance, except at the minima.. Although strong spatial confinement of the on state enables high resolution, it also subjects the fluorophores to excess intensities and state cycles at the maxima. Article Title: Quantification of Sub-Pixel Dynamics in High-Speed Neutron Imaging Article Snippet: In effect, Equation (15) computes the integral of the product of two functions as one is shifted past the other, which is equivalent to convolution: (16) E [ d ( x , a ) ] = f a ( x ) * d ( x ) = ∫ − ∞ ∞ f a ( β ) d ( x − β ) d β This was implemented by performing discrete convolution over a finite Article Title: Probabilistic volumetric speckle suppression in OCT using deep learning Article Snippet: In the original Article Title: A Physiologically Inspired Model for Solving the Cocktail Party Problem Article Snippet: The estimated stimulus is obtained via a two-dimensional convolution obtained without Article Title: Generating Artificial Reverberation via Genetic Algorithms for Real-Time Applications Article Snippet: For Activity Assay:Article Title: A Method for Point Spread Function Estimation for Accurate Quantitative Imaging Article Snippet: Aim: A method to determine the point spread function (PSF) of an imaging system based on a set of 3-D Gaussian functions is presented for a robust estimation of the recovery corrections for accurate activity quantification in positron emission tomography (PET) and single-photon emission computed tomography systems.. Materials and Methods: The spatial resolution of the ALBIRA II PET subsystem was determined using a 370-kBq 22Na point source.. The measured data were reconstructed with a maximum-likelihood expectationmaximization algorithm. Sequencing:Article Title: SACT: A New Model of Covert Communication Based on SDN Article Snippet: The output sequences of each output end after passing through the encoder are as follows: O 1 = G 1 ∗ s = 101110001 ∗ 110110 = 100110111010110 O 2 = G 2 ∗ s = 111101011 ∗ 110110 = 110011110010010 After combining the output sequences of O 1 and O 2 , the resulting of extended sequence is as follows: ( 11 , 01 , 00 , 10 , 11 , 01 , 11 , 11 , 10 , 00 , 11 , 00 , 10 , 11 , 00 ) The convolution operation of vector can be realized by c o n vfunction in MATLAB. .. Therefore, the implementation of |