Denoising sine wave signal

[spandana2004]

Pull Request for DL-Simplified 💡

Issue Title: Denoising a simple sine wave.

• Info about the related issue (Aim of the project): The goal of this project is to denoise a simple sine wave using Convolutional Autoencoders, LSTM and advanced Convolution autoencoders. The noisy sine wave is cleaned up by reconstructing the signal through feature extraction and noise reduction.

• Name: Spandana A P

• GitHub ID: https://github.com/spandana2004

• Email ID: ap.spandana@gmail.com

• Identify yourself: contributor @ GSSoC 2024 Extd, Hacktoberfest 2024 Contributor

Closes: #918

Describe the add-ons or changes you've made 📃

In this PR, I have added a new feature that denoises a sine wave using a Convolutional Autoencoder. The steps include:

• Preprocessing the noisy sine wave
• Training a 1D Convolutional Autoencoder
• Visualizing the denoised signal along with the noisy and original signals

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

• The code was tested using synthetic noisy sine wave data, and the model was trained on it.
• The output was visually compared by plotting the original, noisy, and denoised signals, showing effective noise reduction.

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @spandana2004 :)

[abhisheks008]

Approved.