Sampling and Reconstruction

Related lectures (30)

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Covers the basics of signal processing, including Fourier transform, linear systems, and signal manipulation.

Covers the concepts of quantization, coding, and sampling in signal processing.

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

Covers signal modulation, sampling, and their applications in communication systems.

Explores LTI systems, impulse response, convolution, system properties, and frequency response, including low-pass and band-pass filters.

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

Explores the evolution and impact of mobile networks, discussing the challenges and advancements in wireless technologies.

Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.

Covers topics like digital filtering, stability, and discrete systems, including experiments and manipulations.

Covers signal sampling, reconstruction, aliasing, and examples of signal reconstruction using low-pass filters.