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Land Use & Land Cover Statistics
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Wireless Receivers: Time and Phase Offset
Covers the impact and compensation of time and phase offset in wireless receivers.
Digital Signal Processing: Theory
Covers the theory of digital signal processing, including sampling, transformation methods, digitization, and PID controllers.
Review Session: Module 1
Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.
Sampling: Signal Reconstruction and Aliasing
Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.
Explicit Stabilised Methods: Applications to Bayesian Inverse Problems
Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
Signals & Systems I: Sampling and Reconstruction
Explores ideal sampling, Fourier transformation, spectral repetition, and analog signal reconstruction.
Sampling: DT-time processing of CT signals
Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.
Introduction to Sampling
Covers the concept of sampling, the sampling theorem, signal reconstruction, and the conversion of analogue signals to digital signals.
Fourier Transform and Sampling
Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.
Sampling: Inference and Statistics
Explores sampling, inferential statistics, and effective experimentation in statistics.