Digital Signal Processing: Theory

Related lectures (32)

Page 3 of 4

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

Covers spatial sampling in GIS, including autocorrelation, elevation models, and interpolation methods.

Covers generative models, focusing on Boltzmann machines and constrained maximization using Lagrange multipliers.

Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.

Covers sampling, cross-validation, quantifying performance, optimal model determination, overfitting detection, and classification sensitivity.

Explores importance sampling in Monte Carlo calculations, emphasizing variable changes and distribution selection for efficiency.

Covers the consequences of undersampling signals and the stroboscopic effect.

Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.

Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.

Covers the sampling of complex exponentials and the challenges of reconstruction in different scenarios.