Lectures related to Untitled | EPFL Graph Search

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

Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.

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

Covers the design and analysis of signal constellations in communication systems.

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

Explores the role of Computing in society and the basics of computing, algorithms, communication systems, and computer security.

Covers signal modulation, sampling, and their applications in communication systems.

Explores challenges in human communication, context importance, compression problems, uncertain functionality, and proof verification.

Emphasizes the significance of vector spaces in signal processing, offering a unified framework for various signal types and system design.

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

Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

Covers the fundamentals of signal processing, analog-digital conversion, and applications of ADCs and DACs in environmental engineering.

Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.

Covers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.

Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.

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

Covers the analysis and properties of Linear Time-Invariant (LTI) systems.

Covers the impact and compensation of time and phase offset in wireless receivers.

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

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