MATLAB code is supposed to output a channel estimation comparison between two methods, MMSE (Minimum Mean Square Error) and DNN (Deep Neural Network). -- 2
Budget: $30 – $100 USD
Hello, This MATLAB code is supposed to output a channel estimation comparison between two methods, MMSE (Minimum Mean Square Error) and DNN (Deep Neural Network). This comparison is shown on a completely simulated communication system. The problem is that the resulting graph outputted by the code differ from the results in the attached graph of which the code is based on. This is what I require:
1- Edit the code in this GitHub link to be the same as the graph attached.
2- Add to the code MIMO encoders to get another graph of signals done with MIMO
- Task should be done on MATLAB.
- Code should output two graphs (one with MIMO and one without MIMO).
- I should be able to receive the source code, and I would prefer it if it was written in a flexible way so that I could change the MIMO antenna numbers for example. https://github.com/dianixn/Signal_detection_OFDMPowerofDNN
1- Edit the code in this GitHub link to be the same as the graph attached.
2- Add to the code MIMO encoders to get another graph of signals done with MIMO
- Task should be done on MATLAB.
- Code should output two graphs (one with MIMO and one without MIMO).
- I should be able to receive the source code, and I would prefer it if it was written in a flexible way so that I could change the MIMO antenna numbers for example. https://github.com/dianixn/Signal_detection_OFDMPowerofDNN