Sampling (signal processing)

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (29)

Page 3 of 3

Homodyne Receivers: Design and Challenges

Explores homodyne receivers, covering DC offset, channel selection, and offset cancellation, along with challenges like even-order distortion and LO leakage.

Transition to/from Continuous Time Signals and Passband Modulation

Explores the transition between continuous time signals and passband modulation techniques.

Signal Sampling: Interpolation

Explores signal sampling theory, interpolation techniques, and the importance of the sampling theorem in signal processing.

Nyquist Sampling Theorem

Covers the Nyquist sampling theorem and the relationship between signal bandwidth and sampling frequency.

Data Representations and Processing in Machine Learning

Covers data representations and processing techniques essential for effective machine learning algorithms.

Clipping Saturation and Companding

Covers clipping, saturation curves, and companders in audio signal processing.

Phase-Locked Loops: Basics and Applications

Explores Phase-Locked Loops, Lock-in Amplifiers, and Oscilloscopes in electrical metrology.

Impulse-train Sampling: The Sampling Theorem

Covers impulse-train sampling, the sampling theorem, and reconstructing signals from samples in the frequency domain.

Lab versus Daily Life Monitoring

Compares lab-based measurement systems with body-worn sensors for daily life monitoring, discussing their advantages and limitations.