Explains the relationships between the Matched Filter (MF), the Zero Forcing (ZF) receiver, and the Minimum Mean Square Error (MMSE) Receivers, using a digital communications example.
For the introductory material leading into this video (on the left hand side of the screen) see the following two videos:
• How are Channel Inversion and the Matched Filter Related? • How are Channel Invers...
• Signal Model for MIMO and CDMA • Signal Model for MIMO ...
* Note that I made a "typo" at the 10:45 mark, where I had a brain fade and said that (AB)^(-1) equaled B^(-1) x A^(-1) ... of course this would be true if they were transposes, instead of -1 powers. Anyway, it's not a big deal, since the end result was the same: namely that the scenario in question converged to the Zero Forcing solution. I've fixed it up in this summary sheet: drive.google.com/file/d/1vxOn...
The equations in this video are given in the following paper, and the references therein: M.R. McKay, I.B. Collings and A.M. Tulino, "Achievable Sum Rate of MIMO MMSE Receivers: A General Analytic Framework", IEEE Trans. Information Theory, Vol. 57, No. 11, pp. 396-410, January 2010.
Other Related videos: (see: iaincollings.com)
• What is a Matched Filter? • What is a Matched Filter?
• What is Pulse Shaping and the Square Root Raised Cosine? • Pulse Shaping and Squa...
• What is White Gaussian Noise (WGN)? • What is White Gaussian...
• How are sigma^2, SNR, and BER Related for the Matched Filter? • How are sigma^2, SNR, ...
• How are Correlation and Convolution Related in Digital Communications? • How are Correlation an...
• Viterbi Algorithm Explained with an Example • Viterbi Algorithm Expl...
• What is Rayleigh Fading? • What is Rayleigh Fading?
• Convolution Square with Rectangle • Convolution of Square ...
Full categorised listing of videos with PDF Summary Sheets: iaincollings.com
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12 мар 2021