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Concept

Sampling error

Related lectures (30)

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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.

Signal Sampling: Bandwidth and Spectrum

Introduces signals, frequencies, bandwidth, filtering, and sampling in signal processing.

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.

Implementation of Sampling and Quantization

Covers the generation of signals with noise, sampling, and conversion to digital.

Determinantal Point Processes and Extrapolation

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Statistics & Experimental Design

Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.

Fourier Transform and Sampling

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

Metrics for Classification

Covers sampling, cross-validation, quantifying performance, optimal model determination, overfitting detection, and classification sensitivity.

Sampling Signals: Stroboscopic Effect (Spectrum Folding)

Covers the consequences of undersampling signals and the stroboscopic effect.

Smith Theory in Floer Persistence and Dynamics

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Discretisation of Continuous Time Systems

Explores the discretisation of continuous-time systems for digital control and stability preservation.

Spatial Sampling: Concepts and Techniques

Covers spatial sampling in GIS, including autocorrelation, elevation models, and interpolation methods.

Transfer Functions and Control Algorithms

Explores transfer functions, control algorithms, and system transformations in discrete and analog systems, with practical exercises included.

Generative Models: Crash Course

Offers a crash course on generative models, covering exponential families, sampling methods, and Metropolis algorithm.

Gibbs Sampling: Simulated Annealing

Covers the concept of Gibbs sampling and its application in simulated annealing.

Wireless Receivers: Time and Phase Offset Log in to Mediaspace to watch this video

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Signals, Instruments, and Systems Log in to Mediaspace to watch this video

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Signals & Systems I: Sampling and Reconstruction Log in to Mediaspace to watch this video

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