Practical Sampling and Interpolation

Emphasizes the significance of vector spaces in signal processing, offering a unified framework for various signal types and system design.

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

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

Explores the link between DTFT, Z-transforms, and Fourier transforms, vector analogy, and discrete signals.