npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

ndarray-translate-fft

v1.0.0

Published

Translates ndarrays using sinc interpolation

Downloads

22

Readme

ndarray-translate-fft

Translates an array using sinc interpolation. For some things this makes sense, but for other signals this may not be what you want. (For example, you can get bigger values or negative stuff in your signal using this method). If you want to use bilinear interpolation, check out ndarray-warp, or if all your coordinates are integers try ndarray-translate instead.

build status

Example

Zero padded

Here is a simple example showing how to warp with 0-padding boundary conditions:

var baboon = require("luminance")(require('baboon-image'))
var translate = require("../translate.js")

translate(baboon, [100, 180])

require("save-pixels")(baboon, "png").pipe(process.stdout)

Output

Wrapped

ndarray-fft can also handle periodic boundary conditions by replacing the translate line with the following:

var baboon = require("luminance")(require('baboon-image'))
var translate = require("../translate.js")

translate.wrap(baboon, [100, 180])

require("save-pixels")(baboon, "png").pipe(process.stdout)

Output

Install

Install using npm:

npm install ndarray-translate-fft

API

var translate = require("ndarray-translate-fft")

translate(array, shift)

Translates array by shift amount in place using sinc interpolation with 0-boundary conditions.

  • array is an ndarray to translate (get mutated)
  • shift is an array of numbers indicated the amount to shift by (can be a fractional number), should have the same length as array.shape

Returns array

Note that due to not using an infinite amount of padding (and/or using additional corrections), the zero-padded result might not be completely accurate (but since in this case you are shifting out data anyway...).

translate.wrap(array, shift)

Translates an array by shift amount in place using periodic boundary conditions. This is exactly recoverable.

  • array is the array to translate
  • shift is the amount to shift by

Returns array

Reasons to use ndarray-translate-fft:

  • You want to translate by fractional amounts
  • You want your translations to be exactly invertible
  • You want to handle periodic boundary conditions

Reasons NOT to use ndarray-translate-fft

  • You are shifting with zero padding and integer vectors
  • You are concerned about speed.

License

(c) 2013 Mikola Lysenko. MIT License