Learning Outcomes
Introduction to spectral analysis of continuous and discrete signals as well as Fourier series. Connection of spectral methods with the data and practices of Rural and Surveying Engineering and their applications. Development of specialized algorithms in Matlab for the estimation of Fourier transforms, the spectral analysis of data and the application of digital filters.
• Understands Fourier series and Fourier transforms at a satisfactory level
• Analyzes their usefulness in topics related to the science of Topographic Engineering
• Develops signal processing methodologies in the frequency domain
• Estimates and infers signals from their spectral analysis and energy
• Uses spectral methods in signal analysis
• Computes series and Fourier transforms and builds code for it
Course Content (Syllabus)
Fourier series in the plane and sphere. Direct and inverse Fourier transform in one and more dimensions. Fundamentals, properties and theorems of Fourier analysis. Power and energy signals, linear systems and filters. Discrete Fourier transforms and their numerical computations. Hanker and Hartley transforms. Introduction to wavelets. Application of Fourier analysis to Geoinformatics.
Keywords
signal processing, spectral analysis, Fourier analysis, convolution, FFT, wavelets, linear systems, filters
Course Bibliography (Eudoxus)
1. Λιάβας, Α., & Καρυστινός, Γ.(2024). Σήματα και Συστήματα [Προπτυχιακό εγχειρίδιο]. Κάλλιπος, Ανοικτές Ακαδημαϊκές Εκδόσεις. http://dx.doi.org/10.57713/kallipos-1051
2. Ανάλυση Fourier, Μurray R. Spiegel. Κωδικός Βιβλίου στον Εύδοξο: 2517
3. Διδακτικές σημειώσεις σε έντυπη και ηλεκτρονική μορφή, Α. Δερμάνης, Η.Ν. Τζιαβός