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https://github.com/rakibhhridoy/classifyoutersignals-spacesignals

Space signals comes with huge noise in it. For analyzing the signals we have to make sure there is as less noise as possible. Detecting the noise and denoising the signals is quite hard to do. As a Data Science Analytics one should have the capability to handling any kind of dataset.
https://github.com/rakibhhridoy/classifyoutersignals-spacesignals

autoencoders deep-learning denoising keras lstm machine-learning python signal-processing space space-signals

Last synced: about 1 month ago
JSON representation

Host: GitHub
URL: https://github.com/rakibhhridoy/classifyoutersignals-spacesignals
Owner: rakibhhridoy
Created: 2020-08-31T06:54:11.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2020-08-31T06:54:29.000Z (over 4 years ago)
Last Synced: 2024-11-06T15:27:08.432Z (3 months ago)
Topics: autoencoders, deep-learning, denoising, keras, lstm, machine-learning, python, signal-processing, space, space-signals
Language: Jupyter Notebook
Homepage: https://rakibhhridoy.github.io
Size: 9.43 MB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: readme.md

Awesome Lists containing this project

README

        # *Outer Signals from Space Analysis*

![img1](https://external-content.duckduckgo.com/iu/?u=https%3A%2F%2Ftse2.mm.bing.net%2Fth%3Fid%3DOIP.s6hznMCgWmPRHa6VEKOr3QHaEe%26pid%3DApi&f=1)

## *Analyzed:*

- [x] Denoising the signals

- [x] analyzing the matched signal

- [x] comparing the signal with existent signals

- [x] signal characteristic analyzed

  

## *Purpose*

- [x] Learning

- [x] Making a skill

- [x] Experience in handling signal data

## *Get Touch with me:*

[RakibHHridoy](https://rakibhhridoy.github.io) 


[Linkedin](https://linkedin.com/in/rakibhhridoy)