On the Use of AI in Signal Processing Programming Applications at the Master of Science Level

Abstract

The paper presents the results of an analysis related to the use of AI tools in running signal processing courses and applications, at the Master of Science level, where high-level programming languages such as MATLAB /Octave/ Python are involved. Three AI tools were selected: ChatGPT (OpenAI), Microsoft Copilot, and Google Gemini. As a case study, three signal processing applications are considered where a programming task is involved. These are related to signal generation, function computation, and signal filtering. The solutions of AI tools are presented, analyzed, and compared with an in-house one, from the accuracy, clarity, and compactness criteria. The preliminary conclusion shows that all AI tools provide good solutions related to the considered signal processing tasks. The major concern is the choice of the parameters of the simulations when the experience and knowledge of the end user are dominant. The aspects discussed in this paper indicate the paths that should be followed when programming languages are involved for engineering applications, like signal processing. The aspects considered have a major impact on the educational process, where generative AI seems to dominate and dramatically change the paradigm of education, in general.

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