Bandlimiting

Related lectures (32)

Page 3 of 4

Introduces the discrete-time Fourier transform and its application to stable LTI systems, covering properties and frequency response.

Explores the space of bandlimited functions, focusing on 1-bandlimited functions as a basis and their representation through sequences.

Explores the relationships between various transforms and signal embedding techniques.

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

Covers band-limited interpolation in digital signal processing, focusing on the recovery of a continuous-time signal.

Covers the fundamentals of discrete-time signals, including analysis, synthesis, synchronization, cooling laws, and signal operations.

Explores trigonometric Fourier series, spectrum of periodic signals, Hilbert interpretation, and complex Fourier series.

Explores sampling strategies for signals, emphasizing the importance of controlling errors in the sampling process.

Explains the practical use of the Discrete Fourier Transform (DFT) for digital signal processing.

Covers the Z-transform, region of convergence, and examples of signals with multiple poles and finite-duration signals.