Denoising a simple sine wave using Convolution Auto encoders

[spandana2004]

🔴 Project Title: Denoising Sine Wave using Convolutional Autoencoders

🔴 Aim:
To implement a Convolutional Autoencoder for denoising a sine wave corrupted with Gaussian noise and to evaluate the effectiveness of the model.

🔴 Dataset:
The dataset consists of a generated sine wave with added Gaussian noise. It will be created programmatically within the project to simulate different noise levels and clean sine wave data.

🔴 Approach:

1. Data Generation: Create a clean sine wave and add Gaussian noise to generate the noisy dataset.
2. Exploratory Data Analysis (EDA): Perform EDA to visualize the clean and noisy sine waves and understand their properties.
3. Model Implementation:
   • Implement the Convolutional Autoencoder architecture.
   • Train the model on the noisy sine wave dataset.
   • Evaluate the model's performance by comparing the denoised output against the clean sine wave.
4. Comparison: While the primary focus is on the Convolutional Autoencoder, consider implementing additional denoising techniques (like simple filters or traditional methods) for comparative analysis.

✅ To be Mentioned while taking the issue:

• Full name: Spandana
• GitHub Profile Link: https://github.com/spandana2004
• Email ID: [email protected]
• Participant ID (if applicable): [Your Participant ID]
• Approach for this Project: Implement a Convolutional Autoencoder for denoising a sine wave and compare its effectiveness with other methods.
• What is your participant role? (Mention the Open Source program): Contributor @GSSOC 2024 Extd @Hacktoberfest

[github-actions]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[abhisheks008]

Hi @spandana2004 can you please explain a bit more about this project?

[spandana2004]

In real-time many signals generated undergo disruption due to added noise. I have been working on denoising them using convolution autoencoders, starting with a simple synthetically generated sine wave with added Gaussian noise.

[abhisheks008]

Cool, you can start working on it. Assigned to you @spandana2004

[github-actions]

Hello @spandana2004! Your issue #918 has been closed. Thank you for your contribution!