Prof.thank you for this material on MMSE.I really appreciate it.I spotted something somewhere,i think it was an oversight.you omitted the Pd in the inverse bracket of the final MMSE estimator (c bar).
when differentiate and give zero to the differentiated equation it might give you the maximum or minimum value of the the original function, you should give the two possible solutions for the differentiated equation and get the minimum one.
Hello, Thank you very much for a very insightful lecture. I wonder that is there any proof that the cross-correlation of two uncorrelated variables is 0. As the definition said that the covariance of two uncorrelated variables is 0 or E{xy} = E{x}E{y}. How can we omit the E{x1(x2)*} here?
Prof.thank you for this material on MMSE.I really appreciate it.I spotted something somewhere,i think it was an oversight.you omitted the Pd in the inverse bracket of the final MMSE estimator (c bar).
EXCELLENT LECTURE. THANKS A LOT,SIR.
when differentiate and give zero to the differentiated equation it might give you the maximum or minimum value of the the original function, you should give the two possible solutions for the differentiated equation and get the minimum one.
Hello,
Thank you very much for a very insightful lecture.
I wonder that is there any proof that the cross-correlation of two uncorrelated variables is 0.
As the definition said that the covariance of two uncorrelated variables is 0 or E{xy} = E{x}E{y}.
How can we omit the E{x1(x2)*} here?
Here X1 and X2 are uncorrelated or independent symbol so their correlation are zero.
39:20, in SVD, U and V should be square matrices, so U is r \times r matrix , right?
what is the diversity of MIMO MMSE receiver
I was wondering since we use ofdm symbols is x1 at 12:58 suppose to be a subcarrier.If any body knows please let me know
you are right!
21:00，one Pd was missing
Pd missing under Identity I ? at 20:46 ? Waleed Khan
He puts Pd back at 23:15
결론 26:12
1:57 mmse