Lowpass sampling of analog signals: (a) spectrum of analog bandlimited signal, (b) spectrum of discrete-time sampled analog signal scaled by F s and replicated, (c) aliased spectrum of discrete-time ...

A study of signals and linear systems and their applications in modern engineering. Representation of continuous and discrete time signals and systems in the time and frequency domains. Stability, ...

PREREQUISITES BY TOPIC: Basic introduction to electrical engineering concepts DETAILED COURSE TOPICS: 1. Signals and Systems (5 lectures): Continuous-time and discrete-time signals; commonly ...

Aliasing, In Theory The Nyquist-Shannon sampling theorem states that, when sampling a signal at discrete intervals, the sampling frequency must be greater than twice the highest frequency of the ...

Id: 003877 Credits Min: 3 Credits Max: 3 Description The course covers analytical/numerical modeling and analysis of signal processing. The course topics include: Fourier Series, Linear Systems and ...

Traditional sampling theories require adherence to the Nyquist rate to prevent aliasing; however, many real-world signals possess an inherent structure characterised by a finite number of degrees ...

A signal chain consists of several components, such as amplifiers, data converters, interface, clocks and timing. The purpose of the signal chain is to gather and process data or apply system controls ...

The difference between digital and analog signals may seem straightforward, but there is a ton of nuance that defines the characteristics of the two systems.

And understanding aliasing is the first step toward really understanding sampling, and that’s the first step into the big wide world of digital signal processing.