A desktop signal processing app for adjusting frequency magnitudes across different modes (Uniform Range, Music & Vowels Mix, Music & Animals Mix, Wiener Filter). Features include real-time Fourier visualization, synchronized signal viewers with playback controls, dynamic spectrograms, signal equalization with sliders, noise removal based on silent segments, and the ability to reconstruct signals after modifications.
- Python 3.6 or higher
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Clone the repository:
git clone https://github.com/AhmedAmgadElsharkawy/Signal-Equalizer.git -
Install The Dependincies:
pip install -r requirements.txt -
Run The App:
python main.py
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Signal Equalization Functionality: Open a signal and adjust the magnitude of its frequency components using sliders. The user can reconstruct the signal after making modifications.
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Uniform Range Mode: Divide the frequency range into 10 equal ranges, each controlled by a slider. Validate using a synthetic signal composed of pure single frequencies.
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Music & Vowels Mix Mode: Control the magnitude of specific musical instruments or specific vowel from these vowels in a mixture using dedicated sliders.
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Music & Animals Mix Mode: Adjust the magnitude of individual animal sounds or specific specific musical instruments in a mixture via sliders.
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Wiener Mode: Remove noise from the signal based on a selected silent segment, ensuring a cleaner output.
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Linked Cine Signal Viewers: View input and output signals synchronously with features like play, pause, stop, speed control, zoom, pan, and reset.
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Spectrograms: Display spectrograms for both input and output signals, dynamically updating the output spectrogram as sliders are adjusted. Includes an option to toggle visibility.
- AhmedAmgadElsharkawy: GitHub Profile
- AbdullahMahmoudHanafy: GitHub Profile
- MohamadAhmedAli: GitHub Profile
- RawanAhmed444: GitHub Profile