Sensor Networks and Data Analysis (SNADA)
Sensor Networks and Data Analysis (SNADA)
Sensing and data analysis is fundamental to all Engineering disciplines. It relies on a key understanding of sensor networks and how they communicate, resource and computation constraints, and an understanding of how data is sampled and then analysed. Signals are the output of sensors which have measured data, and this course gives an introduction to key signal analysis concepts.
For more information, see http://www.drps.ed.ac.uk/current/dpt/cxelee08021.htm
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Distortion , Signals and Signal Processing
Signals - DISTORTION!
From Alan Murray
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Digital Carrier Modulation
Lecture 6_Digital Carrier Modulation
From Wasiu Popoola
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Lecture 5_Digital Baseband Transmission_Line Coding
Lecture 5_Digital Baseband Transmission_Line…
From Wasiu Popoola
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This video introduces students to the Sensor Networks and Data Analysis course. It discusses, at a high level, what a sensor network is, and various applications across…
Sensor Networks and Data Analysis Overview for…
From James Hopgood
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Describing signals - audio example
Describing signals - audio example
From Alan Murray
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Getting information from messy signals - Signal Processing
Getting information from messy signals - Signal…
From Alan Murray
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This short video demonstrates optical wireless communication using a visible light source.
Wireless Communication with Visible Light
From Wasiu Popoola
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Sensors in Engineering - Where and what are they?
Sensors in Engineering - Where and what are they?
From Alan Murray
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Introduction to communication systems_Analogue Angle Modulation
Lecture 3_AngleModulation
From Wasiu Popoola
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Introduction to communication systems_Analogue Modulation_part2
Lecture 3_LinearModulation_Part_2
From Wasiu Popoola
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Introduction to communication systems_Analogue Modulation_part1
Lecture 3_LinearModulation_Part_1
From Wasiu Popoola
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This Topic is a very brief introduction to the idea of native discrete-time signals, created as sequence of numbers, rather than viewed as a discrete-time…
Topic 46: Introduction to Discrete-Time Signals…
From James Hopgood
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This Topic uses the sampling theory developed in the previous topics to analyse what happens when a pure sinusoid is sampled. The Topic considers two approaches: a…
Topic 45: Sampling a Sinusoid (SNADA, Chapter 8)
From James Hopgood
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This Topic considers the concept of aliasing, which is signal distortion due to the spectral overlap of the spectral images that result from the sampling process.…
Topic 44: Under-sampling and Practical Data…
From James Hopgood
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