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Electronics is fundamental to modern life.
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English
English [CC]
FREE
- Learn basic syntax that can apply to any language.
- Learn what is a programming language and the basic concepts for beginners.
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- Know the basic syntax of Javascript.
- Know some hidden quirks in Javascript.
Description
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.
Course content
- Introduction 00:07:00
- Learning outcomes 00:07:00
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- Electronics everywhere 00:15:00
- Three key subsystems 00:30:00
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- Signal processing 00:15:00
- Frequency-dependent gain 00:20:00
- Gain functions of ideal filters 00:15:00
- Types of interference 00:20:00
- First-order filters 00:20:00
- Normalised first-order low-pass filters 00:45:00
- The full Bode plot: gain and phase 00:20:00
- Chebyshev and Butterworth filters 00:15:00
- Digital signal processing 00:25:00
- Digital filters 00:20:00
- Characteristics of discrete-time and continuous-time signals 00:20:00
- Sampling a continuous-time signal 00:15:00
- Quantisation of a signal 00:20:00
- Digital filtering in the time domain 00:40:00
- Designing a digital filter in the frequency domain 00:35:00
- Fourier transforms and the sinc pulse 00:35:00
- A low-pass filter design 00:50:00
- Digital filtering in practice 00:45:00
- Adding noise 00:20:00
- Changing the decision level 00:20:00
- Applying the FIR filter 00:15:00
- Conclusion 00:10:00
Instructor
OpenCoursa
Accessible Education for Everyone
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