Digital Signal Processing Course Design Project

This repository contains my course design project for Digital Signal Processing. The project includes MATLAB implementation code along with a detailed design report covering the following key components: - Convolution demonstration program: Visualizes linear convolution operations with customizable input signals - Sampling theorem demonstration: Illustrates Nyquist-Shannon theorem through signal reconstruction from sampled data - Analog filter design demonstration: Implements analog filter prototyping using various approximation methods - Chebyshev Type I lowpass filter design: Features ripple-controlled filter design in passband with monotonic stopband - Bilinear transformation method for Butterworth lowpass digital filter: Demonstrates analog-to-digital filter conversion preserving stability - Kaiser window-based highpass filter design: Implements FIR filter design with adjustable transition bandwidth These implementations cover essential digital signal processing concepts and techniques commonly taught in university courses. The code includes parameter tuning capabilities and visualization functions to enhance understanding of filter characteristics and signal processing effects.