Signals & Systems I: Sampling and Reconstruction

Related lectures (30)

Page 3 of 3

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

Introduces the discrete Fourier transform, a key tool for digital signal analysis.

Covers Analog-Digital and Digital-Analog conversion, including sampling, quantization, Flash converter, weighted current generation, and R2R network.

Covers the basics of signal processing and electric circuits.

Covers the basics of signal processing, including Fourier transform, linear systems, and signal manipulation.

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

Covers the introduction of discrete Fourier transform and its implications on signal reconstruction.

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

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

Explores the sampling of pure sinusoids, emphasizing the Nyquist theorem and its practical implications.