Practical Engineering 1: Signal Processing

Related lectures (31)

Page 2 of 4

Covers class hierarchies, pattern matching, function values, and function calls in Scala.

Covers Python basics, including data types, loops, functions, classes, and GUI creation.

Covers the basics of C programming, including syntax, data types, pointers, arrays, and compilation commands.

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

Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.

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

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

Covers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.

Explores advanced software testing techniques, including property-based testing and various forms of fuzzing, to effectively test complex systems.

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