Readme - Sampling Using an Ideal Sampler

During the course lectures, we will demonstrate how to effectively utilize MATLAB and its toolboxes to solve problems in performance analysis of dynamic systems, parametric estimation, model identification from data, and prediction of dynamic system evolution.

The “Sampling_Aliasing_IdealSampler.mlx” live script illustrates, through experimentation, the impact of the sampling process on reconstructing the original continuous-time signal from sampled data, the effect of aliasing, and the tuning of anti-aliasing low-pass filters.

The live script named “hands_on_sampling_LTI_example” is an exercise proposal.

Instructions

Steps to retrieve and run the live script:

• Download as a ZIP archive the whole contents of the folder named “L2_Sampling_Aliasing,” available in the “Class Materials” file area of the MS Teams course team.
• Uncompress the archive into a preferred folder.
• Add the chosen folder and subfolders to the MATLAB path.
• To start using the set of MATLAB live scripts, please select the previously chosen folder as the working folder directly in MATLAB and open the live script named “Sampling_Aliasing_IdealSampler.mlx”.

Work your way through the sections of this live script, using the links to navigate through the various addressed topics. You can also browse the live script as a PDF or HTML document. Please note: the PDF and HTML versions of a live script do not preserve the capability to insert a MATLAB command or code directly into the script, thereby obtaining the result directly within the script itself.