Digital-Signal-processing-Scilab-Simulations

📐 A curated collection of Scilab scripts showcasing foundational digital signal processing (DSP) techniques.
This project is ideal for students, educators, or enthusiasts exploring hands-on signal transformations and filtering in Scilab.

📁 Included Simulations

• 🌀 Butterworth Filter – Implements a Butterworth low-pass filter to smooth out high-frequency noise.
  butterworth.sci
• 📉 Downsampling – Demonstrates signal decimation by reducing the sampling rate.
  downsampling.sci
• 🎧 Hamming Window – Applies a Hamming window to shape the frequency response of a signal.
  hamming window.sci
• ➗ Linear Convolution – Performs convolution between input signals to simulate system behavior.
  linear convolution.sci
• 🔊 Noise Signal at 100 Hz – Generates and visualizes noisy signal samples at 100 Hz.
  noise signale sample at 100hz.sci
• 📈 Upsampling – Illustrates zero-insertion and interpolation for increasing sampling rate.
  upsampling.sci

⚙️ Requirements

• Scilab (Tested with Scilab 6.x)

🧠 Purpose

This repository is built to:

• Reinforce DSP concepts through simulations
• Serve as a lab resource for academic coursework
• Offer modular examples for experimentation and extension

📌 Getting Started

To run a script in Scilab:

1. Open Scilab.
2. Load the .sci file from the file browser or using exec('filename.sci');.
3. View plots, results, or outputs directly.

📝 License

This project is released under the MIT License.
Feel free to use, modify, and build on these simulations with attribution.

👤 Author

Created by Karan-nevage
Digital Signal Processing Enthusiast | Scilab Practitioner