Hi professor, may I suggest a topic that I feel would be very beneficial? I have seen a video earlier about 'statistically modelling of MIMO channels', which had an introduction to spatially correlated MIMO channels. However, there is no detailed video on this topic and I feel is very important for anyone studying wireless communications. Since you already have a great understanding of this topic and you have quite a bit of papers on this topic, I suggest making an interactive video or even a series on this topic would be really helpful. Since there are different models for modelling spatial correlation involving different matrix decompositions such as eigenvalue decomposition or Cholesky decomposition, a video or a series on this topic will be helpful from a mathematics point of view as well. Thank you once again for all your teaching efforts!
Thanks, on the lower middle, there is the unbiased est. S_tilde^2. That means we can get true value from our observations? If we have just n= 2, we can really get the unbiased value? Thanks.
Hi professor, may I suggest a topic that I feel would be very beneficial? I have seen a video earlier about 'statistically modelling of MIMO channels', which had an introduction to spatially correlated MIMO channels. However, there is no detailed video on this topic and I feel is very important for anyone studying wireless communications. Since you already have a great understanding of this topic and you have quite a bit of papers on this topic, I suggest making an interactive video or even a series on this topic would be really helpful. Since there are different models for modelling spatial correlation involving different matrix decompositions such as eigenvalue decomposition or Cholesky decomposition, a video or a series on this topic will be helpful from a mathematics point of view as well. Thank you once again for all your teaching efforts!
Thanks for the suggestion. I've put it on my "to do" list.
Thanks, on the lower middle, there is the unbiased est. S_tilde^2. That means we can get true value from our observations? If we have just n= 2, we can really get the unbiased value? Thanks.
👏 Thank you clear and concise.
Glad it was helpful!
Great explanation as always; Can you post me a link to the proof of the variance of the estimator?