Lecture
What is digital signal processing
Description
This lecture covers the concept of time, the practicality of discrete time, the sampling theorem, digital storage, transmission of signals overseas, transmission of analog and quantized signals, and digital data throughputs. It also introduces key ideas of digital signal processing, such as the discretization of time and values, general-purpose storage and processing, and noise control.
In MOOCs (4)
Digital Signal Processing I
Basic signal processing concepts, Fourier analysis and filters. This module can
be used as a starting point or a basic refresher in elementary DSP
Digital Signal Processing II
Adaptive signal processing, A/D and D/A. This module provides the basic
tools for adaptive filtering and a solid mathematical framework for sampling and
quantization
Digital Signal Processing III
Advanced topics: this module covers real-time audio processing (with
examples on a hardware board), image processing and communication system design.
Digital Signal Processing IV
Advanced topics: this module covers real-time audio processing (with
examples on a hardware board), image processing and communication system design.
Instructors (3)
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