interpolation

Creating intermediate slices in a 3D MRI volume with MATLAB [closed]

余生长醉 提交于 2019-12-01 13:25:14
问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 4 years ago . I have 9 MRI images and would like to make a 3D volume out of these images. From there, I would like to interpolate in between each slice. Given two slices in the volume, I would like to create an intermediate frame in between that interpolates between the two slices. The goal is to create an 18

Variable from string interpolation returns a non unit value

拜拜、爱过 提交于 2019-12-01 13:16:19
This is the first time I'mn building a site using LESS and encountered a problem best described by the code below: @section-row-padding-size-xs: 30px; @section-row-padding-size-sm: 50px; @section-row-padding-size-md: 100px; @section-row-padding-size-lg: 140px; .section-row-padding( @size ) { @padding-size: ~"@{section-row-padding-size-@{size}}"; .section-row { padding: @padding-size 0; &.quarter-padding-top { padding-top: @padding-size * 0.25; } &.quarter-padding-bottom { padding-bottom: @padding-size * 0.25; } &.half-padding-top { padding-top: @padding-size * 0.5; } &.half-padding-bottom {

Interpolate whole arrays of complex numbers

天涯浪子 提交于 2019-12-01 12:47:10
问题 I have a number of 2-dimensional np.arrays (all of equal size) containing complex numbers. Each of them belongs to one position in a 4-dimensional space. Those positions are sparse and distributed irregularly (a latin hypercube to be precise). I would like to interpolate this data to other points in the same 4-dimensional space. I can successfully do this for simple numbers, using either sklearn.kriging() , scipy.interpolate.Rbf() (or others): # arrayof co-ordinates: 2 4D sets X = np.array([

Interpolating trajectory from unsorted array of 2D points where order matters

一世执手 提交于 2019-12-01 12:24:27
I need a way of obtaining a Lx2 trajectory from a Nx2 array of points, i.e. a way of connecting those points into a single trajectory (for example, create a 10000x2 array of points from a 5x2 array of points). I have tried using interp1 and interp2 but either I don't fully understand them or they don't do what I need. It sounds like you need to be using interp1 in a loop (i.e. to preserve original order) interpolating between each consecutive pair of points: X = [10; 10.0001; 9; 48]; %// You can consider something like X = [10;10;9;48]; X=X+rand(size(X))*0.0001 instead of dealing with equal X

R plotting a dataset with NA Values [duplicate]

泄露秘密 提交于 2019-12-01 11:45:48
This question already has an answer here: How to connect dots where there are missing values? 4 answers I'm trying to plot a dataset consisting of numbers and some NA entries in R. V1,V2,V3 2, 4, 3 NA, 5, 4 NA,NA,NA NA, 7, 3 6, 6, 9 Should return the same lines in the plot, as if I had entered: V1,V2,V3 2, 4, 3 3, 5, 4 4, 6, 3.5 5, 7, 3 6, 6, 9 What I need R to do is basically plotting the dataset as points, an then connect these points by straight lines, which - due to the size of the dataset - would be much more efficient then the actual calculation of each interpolated value within the

Interpolate between 2 GPS locations based on walking speed

此生再无相见时 提交于 2019-12-01 11:20:26
Problem: Given two locations: L 1 = (latitude 1 , longitude 1 , timestamp 1 ) , L 2 = (latitude 2 , longitude 2 , timestamp 2 ) , and a configurable, but constant, movement speed: v = 1.39 meters per second (for instance). How can we interpolate between these two locations to estimate a users location as he travels from L 1 to L 2 ? I have been searching for solutions to this problem and so far I have found, that for small distances (away from the poles) linear interpolation can be used. So, I looked up linear interpolation on Wikipedia and found this: // Imprecise method which does not

Variable from string interpolation returns a non unit value

ぃ、小莉子 提交于 2019-12-01 11:05:57
问题 This is the first time I'mn building a site using LESS and encountered a problem best described by the code below: @section-row-padding-size-xs: 30px; @section-row-padding-size-sm: 50px; @section-row-padding-size-md: 100px; @section-row-padding-size-lg: 140px; .section-row-padding( @size ) { @padding-size: ~"@{section-row-padding-size-@{size}}"; .section-row { padding: @padding-size 0; &.quarter-padding-top { padding-top: @padding-size * 0.25; } &.quarter-padding-bottom { padding-bottom:

Interpolate and animate two svg path

我的未来我决定 提交于 2019-12-01 10:41:34
I have two svg path curves that I want to animate. I want that in 5 seconds dPathBefore becomes dPathNow with a smooth animation transition. That is my code: const dPathBefore = 'M 50 350 Q 150 0 200 250 Q 250 350 300 250 C 350 200 450 250 400 350 Z' const dPathNow = 'M 50 350 C 50 150 150 150 250 300 C 300 150 400 150 400 350 Z' export class PathAnimation extends React.Component { render() { return ( <svg width={500} height={400} className={'ba b--black'}> <path d={dPathBefore} fill={'cyan'} fillOpacity={0.5} /> <path d={dPathNow} fill={'red'} fillOpacity={0.5} /> </svg> ) } } I read that

Interpolate large irregular grid onto another irregular grid in Python

前提是你 提交于 2019-12-01 10:35:10
I am trying to interpolate complex values from one irregular grid to another irregular grid using Python. The grids are in 2D and there are 103,113 data points. I am using Python 2.6.6, Scipy 0.7.2, Numpy 1.3.0, Matplotlib 0.99.3 In Matlab using griddata this is achieved in roughly 5 seconds. BnGRID2 = griddata(R_GRID1,Z_GRID1,BnGRID1,R_GRID2,Z_GRID2) (MATLAB) (Note all arrays are 201 x 513) However, if I try using matplotlib.mlab.griddata I get a memoryError even if I try to work with the real part only: mlab.griddata(R_GRID1.flatten(),Z_GRID1.flatten(),num.real(BnGRID1.flatten()),R_GRID2

2D Array Interpolation

一笑奈何 提交于 2019-12-01 09:50:25
i am currently working on a 3D game in c#. I have a 2 dimensional array called data where i get a z value for my x and y values. for example: data[x,y] = z; data[1,2] = 4; data[2,4] = 5; etc. my problem is that this is very vague and I also need the calculated (interpolated) values for example x=1.5 and y=2.5. How can I get to this value and are there any functions available? Thank you Maybe Bilinear Interpolation can be used in your scenario: float fractionX = ... //the fraction part of the x coordinate float integerX = ... //the integer part of the x coordinate float fractionY, integerY = ..