Abstract

Continuous-time and discrete-time signals are the core concepts that underpin not only signal processing but also automation systems, biomedical instrumentation, and digital communications. Continuous signals, to be specific, are real-time physical quantities, while discrete signals are time-sampled numerical data that can be processed by computers and digital processors. MATLAB, being a high-level scientific computing environment, has almost every tool necessary to analyze, visualize, and experimentally confirm signal theory. The article elaborates on the behavior of continuous and discrete signals, their modeling, sampling, aliasing, reconstruction, spectral representation, etc., with the help of MATLAB. The experimental work covers a wide range of signal types in time and frequency domains, including sinusoidal signals, composite signals, exponential signals, unit-step signals, and impulse responses, as well as their transforms.