Filtering and Sampling of Signals

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Discrete Fourier Transform: Sampling and Interpretation

Explores discrete Fourier transform, signal reconstruction, sampling interpretation, and periodic signal repetition.

Frequency Estimation (Theory)

Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.

Analog and Digital Conversion

Explores analog and digital signal processing, A/D and D/A conversion, resolution, settling time, and digital interfaces in electronic circuits.

Fourier Transform: Basics and Applications

Covers the basics of the Fourier transform and its applications in signal processing.

Sampling Theorem: Illustration

Explores the sampling theorem through sinusoid reconstruction, under-sampling effects, and signal filtering importance.

Sampling Theorem

Explores the sampling theorem, illustrating signal reconstruction and the importance of meeting the Nyquist criterion.

Sampling Signals: Stroboscopic Effect (Spectrum Folding)

Covers the consequences of undersampling signals and the stroboscopic effect.

Signals & Systems I: Micro-Systems and Communication Systems

Introduces the fundamentals of signals and systems, communication systems, and signal processing.

Spectral Estimation Methods

Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.

Signal Processing: Basic Definitions and Properties

Explores basic signal definitions, properties, and digital signal processing techniques.