Discrete-time signals: Fundamentals and Applications

Related lectures (28)

Page 2 of 3

Explores electric potential energy, capacitors, electric fields, and circuits, including Ohm's law and ideal DC circuits.

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

Explores power spectral density, Wiener-Khintchine theorem, ergodicity, and correlation estimation in random signals for signal processing.

Explores capacitors, dielectrics, energy storage, and capacitor configurations.

Covers Fourier transform pairs, system analysis with difference equations, and frequency response.

Covers convolution and Fourier transforms in linear time-invariant systems.

Delves into charging capacitors, analyzing circuits with time-dependent current and exploring parallel and series configurations.

Explores the discharge of capacitors in RC circuits and its practical applications.

Explores Gauss's law with dielectrics, ideal capacitors, and screening of charges.