Explains the Constellation Diagram in Digital Communications and how it relates to real transmitted signals.
Note that the "average power" term at the bottom is actually the average _energy_ (it would be the average power if I'd included at 1/T term). It's just a scaling of T between the two, so sometimes the final equation for the measured signal y_k is written with P's (Power) and sometimes with E's (Energy). Depending on which is put there, the variance of the noise term n_k is either N_0 (for the Power version) or N_0W (for the energy version). This video has more details: "What are SNR and Eb/No?" https://youtu.be/bNYvXr6tzXQ
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Related videos: (see: http://www.iaincollings.com)
• Is the Imaginary Part of QAM Real? https://youtu.be/6asDtzaVjbQ
• How are QAM and APSK Related? https://youtu.be/hn9BIrb6Oe4
• What is a Matched Filter? https://youtu.be/Ci-EjiMJo3I
• What is Pulse Shaping and the Square Root Raised Cosine? https://youtu.be/Qe8NQx4ibE8
• What is White Gaussian Noise (WGN)? https://youtu.be/QfUQMzHfbxs
• How are BER and SNR Related for PSK and QAM? https://youtu.be/vtJ6mAy3xMc
• How are Correlation and Convolution Related in Digital Communications? https://youtu.be/We5q5FJcbcU
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