Sampling: Continuous Spatial Phenomena

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Signals & Systems I: Sampling and Reconstruction

Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.

Reconstruction Theorem: Sampling Theorem Elements

Explores the reconstruction theorem and the sampling conditions for accurate signal reconstruction based on the sampling frequency and signal bandwidth.

Isovalues: Introduction to Geographic Information Systems

Introduces isolines and demonstrates their creation in QGIS.

Discrete variables: Geometric properties

Covers geometric properties of discrete variables in GIS, including location, size, and shape.

Fourier Transform and Sampling

Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.

Sampling strategies

Explores research process, variable types, causality vs correlation, and sampling strategies.

Introduction to Sampling

Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.

Spatial Phenomena: Interpolation 1

Covers global and local interpolation methods in geographic information systems.

Generative Models: Boltzmann Machine

Covers generative models, focusing on Boltzmann machines and constrained maximization using Lagrange multipliers.

Filtering and Sampling of Signals

Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.