Numerical Control of Dynamic Systems

Related lectures (31)

Page 3 of 4

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

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

Covers the sampling theorem, impulse train sampling, bandlimited signals, and the Nyquist rate.

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

Covers parameter estimation in wireless receivers and phase ambiguity in signal modeling.

Covers determinantal point processes, sine-process, and their extrapolation in different spaces.

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

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

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

Explores sampling, signal representation, point transformations, and signal vector spaces in the context of signals and systems.