DSP for Communications Lab: MATLAB Signal & System Implementation

This laboratory manual provides a comprehensive guide to understanding and implementing signals and systems using MATLAB for DSP in communications. The experiment covers fundamental concepts such as signal representation, including unit sample, unit step, exponential, and sinusoidal sequences. It explores basic signal operations like addition, multiplication, and shifting, along with more advanced techniques like convolution and filtering. The manual includes detailed MATLAB code examples and explanations for each concept, illustrating how to generate, manipulate, and analyze signals. The exercises involve plotting sequences, performing signal operations, and implementing convolution using MATLAB's built-in functions. The results demonstrate the application of these techniques in various scenarios, providing a practical understanding of DSP principles. The lab also covers the generation and analysis of complex-valued signals, including the plotting of their magnitude, phase, real, and imaginary parts. Overall, the manual aims to familiarize students with the essential tools and techniques for signal processing in communications systems, equipping them with the skills to analyze and implement various signal processing algorithms using MATLAB.