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Lecture
Image Processing I: Filter Design and Boundary Conditions
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Linear Phase Filters: Theory and Design
Explores the theory and design of linear phase filters, emphasizing the importance of achieving optimal filter performance.
Analog Filters: General
Explores analog filters, linear phase filters, rational transfer functions, and filter design compromises.
Heat Transfer Applications
Explores the applications of the Fourier equation in heat transfer phenomena.
Partial Differential Equations: Reflow and Light Propagation
Explores PDEs through reflow of polymer film and light propagation in optical fibers.
Frequency Response Analysis: Linear Systems and Filters
Covers the frequency response of linear systems and filter design principles.
Fourier Series and PDE Solving
Covers the solving of PDEs using Fourier series and boundary conditions of Neumann and Dirichlet type.
Fourier Transform and Convolution Product in Signal Processing
Explores the Fourier transform, convolution product, and their applications in signal processing.
Digital Filtering Fundamentals
Introduces fundamental notions in digital filtering, covering 2D filtering approaches, linear filters, stability, FIR and IIR filters, frequency domain filtering, and Gaussian filters.
Active Filters: Second-order and High-order Realizations
Covers the design and implementation of active filters, focusing on second-order and high-order realizations.
Image Filtering: Summary
Covers the fundamental principles of image filtering in biomedical analysis.
