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 # Signal_Processing_Midterm
 
-Midterm 18/03/2024
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+This repository contains code and documentation for a signal processing exercise aimed at analyzing the content of an unknown signal. The exercise involves using various signal processing techniques to extract and analyze different components embedded in the signal.
+
+## Contents
+
+    Midterm_Report_Graz_Louis.docx: Report documenting the analysis of the unknown signal.
+    Midterm_Report_Graz_Louis.pdf: PDF version of the report.
+    main.m: MATLAB script containing the main code for signal processing operations.
+    blackmanWin.m: MATLAB function for applying a Blackman window to a signal.
+    spectrogram.m: MATLAB function for generating a spectrogram of a signal.
+    frequencySpectrum.m: MATLAB function for computing and plotting the power spectrum of a signal.
+    unknownsignal.csv: CSV file containing the unknown signal data.
+    README.md: This file providing an overview of the project.
+
+## Usage
+    Midterm_Report_Graz_Louis.docx / Midterm_Report_Graz_Louis.pdf: These documents contain the detailed report of the signal processing analysis. They provide insights into the methods used, results obtained, and discussion of the findings.
+    main.m: This MATLAB script serves as the main entry point for analyzing the unknown signal. It contains the code for loading the signal data, performing signal processing operations, and generating visualizations.
+    blackmanWin.m, spectrogram.m, frequencySpectrum.m: These MATLAB functions are used for specific signal processing tasks, such as windowing, generating spectrograms, and computing power spectra.
+    unknownsignal.csv: This CSV file contains the data of the unknown signal that is analyzed in the project.
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