https://github.com/augustunderground/cosamp
CoSaMP algorithm in Haskell
Science Score: 23.0%
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○CITATION.cff file
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○Scientific vocabulary similarity
Low similarity (6.1%) to scientific vocabulary
Keywords
Repository
CoSaMP algorithm in Haskell
Basic Info
- Host: GitHub
- Owner: AugustUnderground
- License: bsd-3-clause
- Language: Haskell
- Default Branch: master
- Homepage: https://augustunderground.github.io/cosamp
- Size: 140 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
CoSaMP
CoSaMP algorithm in Haskell.
Use in Stack Project
Add this to stack.yaml:
yaml
extra-deps:
- github: augustunderground/cosamp
commit: 264f4ec2f6a74d10a7cc484e0bbbe7f24d85d3cc
Example
```haskell import CoSaMP import Numeric.LinearAlgebra import Graphics.Plot
main :: IO () main = mplot [t, s] >> mplot [tWin, xWin, xWin'] where n = 4096 :: Int t = linspace n (0.0, 1.0 :: Double) x = sin ( 91 * 2 * pi * t ) + sin ( 412 * 2 * pi * t ) p = 128 :: Int aquis = cmap floor $ scale (realToFrac n - 1) (randomVector 666 Uniform p) :: Vector I y = flatten $ asRow x ?? (All, Pos aquis) φ = dctOrtho (ident n :: Matrix Double) cφ = φ ?? (Pos aquis, All) s = cosamp cφ y 10 100 1.0e-10 x' = idctOrtho s wIdx = idxs $ find (\i -> i >= 0.4 && i <= 0.5) t tWin = flatten $ asRow t ?? (All, Pos wIdx) xWin = flatten $ asRow x ?? (All, Pos wIdx) xWin' = flatten $ asRow x' ?? (All, Pos wIdx) ```
Build From Source
$ git clone https://github.com/augustunderground/cosamp
$ cd cosamp
$ stack build
$ stack install
$ stack run
References and Resources
This is a Haskell implementation of the Compressive Sampling Matched Pursuit (CoSaMP) algorithm as presented in Needell and Tropp's 2008 paper.
There are also reference implementations available in: - MATLAB. - Python which is based on
Owner
- Name: ynk
- Login: AugustUnderground
- Kind: user
- Location: Innsmouth
- Company: @electronics-and-drives
- Website: https://augustunderground.github.io/
- Repositories: 12
- Profile: https://github.com/AugustUnderground
PhD Student at Reutlingen University
GitHub Events
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Last Year
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Last synced: 12 months ago
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- Average comments per issue: 0
- Average comments per pull request: 0
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- Bot pull requests: 0
Past Year
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- Pull requests: 0
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- Bot issues: 0
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