interpolation

Interpolating data points in Excel

由 ↘锁芯ラ 提交于 2019-12-02 17:36:06
I'm sure this is the kind of problem other have solved many times before. A group of people are going to do measurements (Home energy usage to be exact). All of them will do that at different times and in different intervals. So what I'll get from each person is a set of {date, value} pairs where there are dates missing in the set. What I need is a complete set of {date, value} pairs where for each date withing the range a value is known (either measured or calculated). I expect that a simple linear interpolation would suffice for this project. If I assume that it must be done in Excel. What

Find minimum distance from point to complicated curve

由 为君一笑 提交于 2019-12-02 16:49:20
I have a complicated curve defined as a set of points in a table like so (the full table is here ): # x y 1.0577 12.0914 1.0501 11.9946 1.0465 11.9338 ... If I plot this table with the commands: plt.plot(x_data, y_data, c='b',lw=1.) plt.scatter(x_data, y_data, marker='o', color='k', s=10, lw=0.2) I get the following: where I've added the red points and segments manually. What I need is a way to calculate those segments for each of those points, that is: a way to find the minimum distance from a given point in this 2D space to the interpolated curve . I can't use the distance to the data points

Unification ct scan voxel size by using interpolation in Python

由 二次信任 提交于 2019-12-02 12:59:41
问题 I have used interp2 in Matlab, such as the following code, that is part of @rayryeng's answer in: Three dimensional (3D) matrix interpolation in Matlab: d = size(volume_image) [X,Y] = meshgrid(1:1/scaleCoeff(2):d(2), 1:1/scaleCoeff(1):d(1)); for ind = z %Interpolate each slice via interp2 M2D(:,:,ind) = interp2(volume_image(:,:,ind), X, Y); end Example of Dimensions: The image size is 512x512 and the number of slices is 133. So: volume_image(rows, columns, slices in 3D dimenson) : 512x512x133

Smoothing noises with different amplitudes (Part 2)

由 核能气质少年 提交于 2019-12-02 12:03:55
问题 Well, I'm continuing this question without answer (Smoothing random noises with different amplitudes) and I have another question. I have opted to use the contour/shadow of a shape (Translating/transforming? list of points from its center with an offset/distance). This contour/shadow is bigger than the current path. I used this repository (https://github.com/n-yoda/unity-vertex-effects) to recreate the shadow. And this works pretty well, except for one fact. To know the height of all points

Angular 5 auto update string variable on another variable change

由 北战南征 提交于 2019-12-02 10:48:17
问题 Is there a way to update a string variable when another variable changes? I have a string that is built by using various variables. I display that string in the component's html file using interpolation. However, if a variable changes that the string was using to build itself, the string will never change because they not mutable. Only way would be to reset the string again when one of the other variables change. Sample ts code: import { Component} from '@angular/core'; @Component({ selector:

Interpolating 3D Coordinates between known missing time intervals

由 我的梦境 提交于 2019-12-02 10:19:08
问题 The data is a Path in space. I have 3D location data (x,y,z) and the time the location point was recorded. The x ,y, and z coordinates are the point locations of something traveling through 3D Space. The time values is the time (beginning at 0) that each point was recorded. x y z time(s) 0.1 2.2 3.3 0 2.4 2.4 4.2 0.3 4.5 2.5 1.8 0.6 I will eventually miss some recording events. (this is known and accepted as true) And the data stream will continue at a different time interval: x y z time(s) 0

Interpolation between two values in a single query

由 无人久伴 提交于 2019-12-02 09:39:46
I want to calculate a value by interpolating the value between two nearest neighbours. I have a subquery that returns the values of the neighbours and their relative distance, in the form of two columns with two elements. Let's say: (select ... as value, ... as distance from [get some neighbours by distance] limit 2) as sub How can I calculate the value of the point by linear interpolation? Is it possible to do that in a single query? Example: My point has the neighbour A with value 10 at distance 1, and the neighbour B with value 20 at distance 4. The function should return a value 10 * 4 +

Interpolate Z values in a 3D surface, starting from an irregular set of points [closed]

由 拟墨画扇 提交于 2019-12-02 08:00:09
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 3 years ago . I have a surface that looks like Figure A, imagine that is top view. The surface has calculated Z value. Now I need to find all Z values in new points like figure B. How to do this? I tried scipy.interpolate.interp2d but it gives some weird results like this: I just want to find

How to zoom out an image by Bilinear Interpolation in java?

由 一笑奈何 提交于 2019-12-02 07:45:26
I am trying to read an image, zoom it in to 80*60 and then zoom out the resulted image 5 times by bilinear Interpolation method. But I get this error : Exception in thread "main" java.lang.ArrayIndexOutOfBoundsException: 4800 . Can anyone help me please? this is what I have done : import java.awt.Color; import java.awt.Graphics2D; import java.awt.Image; import java.awt.RenderingHints; import java.awt.image.BufferedImage; import java.awt.image.DataBufferByte; import java.awt.image.WritableRaster; import java.io.ByteArrayInputStream; import java.io.File; import java.io.IOException; import java

Precompute weights for multidimensional linear interpolation

由 与世无争的帅哥 提交于 2019-12-02 07:13:52
问题 I have a non-uniform rectangular grid along D dimensions, a matrix of logical values V on the grid, and a matrix of query data points X. The number of grid points differs across dimensions. I run the interpolation multiple times for the same grid G and query X, but for different values V. The goal is to precompute the indexes and weights for the interpolation and to reuse them, because they are always the same. Here is an example in 2 dimensions, in which I have to compute indexes and values
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