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Signal-Processing

MATLAB implementations of core digital signal processing concepts

📌 Repository Description

This repository contains MATLAB implementations of fundamental DSP techniques:

  • Discrete Fourier Transform (DFT) analysis
  • Signal filtering and decomposition
  • Sampling theorem verification
  • Noise analysis and spectral processing

🧩 Lab Contents

Lab Topic Key Features
1 Composite Signals Time-domain analysis, statistical metrics
2 Normal Distributions Random signal generation, Box-Muller method
3 Sampling Theorem Nyquist verification, aliasing demonstration
4 Convolution Time-domain signal processing
5 Signal Decomposition Impulse/step/odd-even decomposition
8 DFT Analysis FFT vs manual DFT implementation

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MATLAB implementations of core DSP concepts: DFT, filtering, sampling, and signal decompositions.

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