non-gaussian-clutter
Repository for project in the course MVE385 at Chalmers.
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○DOI references
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○Scientific vocabulary similarity
Low similarity (4.5%) to scientific vocabulary
Repository
Repository for project in the course MVE385 at Chalmers.
Basic Info
- Host: GitHub
- Owner: edvmar
- License: mit
- Language: MATLAB
- Default Branch: main
- Size: 2.68 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Non-Gaussian-clutter
Repository for project in the course MVE385 at Chalmers in collaboration with SAAB.
Students:
Edvin Martinson (edvmar), Erik Sahlin (Eklektikern) & Samuel Winqvist (samwin1234)
Examiner at Chalmers:
Alexey Geints
SAAB supervisors:
Mika Persson & Andréas Sundström
Special mathworks packages needed
Statistics and Machine Learning Toolbox
Important note:
In the current task 2 implementation, the sampling is done by using a large list of tabulated values to get the inverse of the CDF (line 15, Task2/Sampling.m). This solution is very data ineffecient and we reccomend any potential further developer to change this to a solution using a function defined by interpolated data as the inverse CDF. It should not require a considerable effort to implement this change.
Owner
- Login: edvmar
- Kind: user
- Repositories: 1
- Profile: https://github.com/edvmar
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Non-Gaussian-clutter
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Edvin
family-names: Martinson
affiliation: Chalmers University of Technology
- given-names: Erik
family-names: Sahlin
affiliation: Chalmers University of Technology
- given-names: Samuel
family-names: Winqvist
affiliation: Chalmers University of Technology
repository-code: 'https://github.com/edvmar/Non-Gaussian-clutter'
abstract: >-
Repository for project in the course MVE385 at Chalmers in
collaboration with SAAB. The project investigates the
performance of different detector models on different
types of clutter.
license: MIT
date-released: '2024-01-09'