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Electronics is fundamental to modern life. Take for example this free course, Electronic applications. An interactive website with videos and interactive software will show how electronic systems pervade everything we do; review some basic ideas of signal processing, control and communications; and allow you to use a digital filter to remove Gaussian noise from a signal.
Course learning outcomes
After studying this course, you should be able to:
- understand the mathematical representations and techniques for manipulating of signals in the time and frequency domains
- explain the application, benefits and limitations of communications, control and signal processing techniques in real world applications
- select and apply appropriate techniques to the analysis of time-varying signals represented in both the time and frequency domain
- use a digital filter to remove Gaussian noise from a signal.
First Published: 15/07/2020
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- Learning outcomes
- 1 Electronics everywhere
- 2 Signal processing
- 3 Digital signal processing
- 3 Digital signal processing
- 3.1 Digital filters
- 3.2 Characteristics of discrete-time and continuous-time signals
- 3.3 Sampling a continuous-time signal
- 3.4 Quantisation of a signal
- 3.5 Digital filtering in the time domain
- 3.6 Designing a digital filter in the frequency domain
- 3.7 Fourier transforms and the sinc pulse
- 3.8 A low-pass filter design
- 3.9 Digital filtering in practice
- 3.10 Adding noise
- 3.11 Changing the decision level
- 3.12 Applying the FIR filter
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About this free course
10 hours study
Level 2: Intermediate
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