Generating Sine Wave, Square Wave, and White Noise Signals with MATLAB Implementation

In this experiment, we will utilize MATLAB to generate sine wave, square wave, and white noise signals while plotting their respective time-domain waveforms. We will implement Fast Fourier Transform (FFT) operations and perform spectral analysis to gain deeper insights into the frequency characteristics and structural properties of these signals. For signal generation, we'll employ key MATLAB functions: - Sine waves: using sin() function with specified frequency, amplitude, and sampling parameters - Square waves: implemented via square() function with configurable duty cycles - White noise: generated using randn() function for Gaussian distribution or rand() for uniform distribution The experimental process includes: 1. Parameter configuration for signal frequency, amplitude, duration, and sampling rate 2. Time-domain visualization using plot() function with proper axis labeling 3. FFT implementation using fft() function with appropriate zero-padding and windowing techniques 4. Spectral analysis through power spectral density calculations and frequency domain plotting Through this hands-on experiment, we will learn practical MATLAB signal processing and analysis techniques, enhancing our understanding of fundamental signal processing concepts, including frequency domain transformations, spectral characteristics, and noise properties. The implementation will demonstrate proper signal processing workflows from generation to analysis, providing comprehensive insights into digital signal processing methodologies.