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Python based simulation of MIMO contains following principles: 1. Transmitter modeling with appropriate ways of modulation and coding. 2. Modeling the kernel MIMO time-variant discrete channel with AGWN(Additive white Gaussian noise). 3. Modeling the kernel MIMO time-variant discrete channel with ... [More] Rayleigh fading. 4. Receiver modeling conversely with the estimation of BER(Bit Error Rate) Note: In fact, i find that no project in Google Code Project or Sourceforge.net discusses about the MIMO simulation by the outstanding language of Python. So i hope with my support, more and more people will join the Python-based movement in MIMO field. [Less]

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Contains files for modelling the following wireless principles: 1. Modelling a fast fading MIMO system with correlation at the transmitter and receiver end. 2. Using BLAST to detect incoming symbols sent via QPSK digital modulation 3. Using Orthogonal space time block codes to reduce error rates ... [More] when transmitting in either a known or unknown, fading or uncorrelated channel. 4. Using precoding when the channel is known at the transmitter, to create a transmission more resilient to errors. [Less]

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  0 reviews  |  0 users  |  1,560 lines of code  |  0 current contributors  |  Analyzed about 22 hours ago
 
 

This project includes my thesis resume and other stuff

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  0 reviews  |  0 users  |  923,425 lines of code  |  0 current contributors  |  Analyzed about 2 years ago
  mimo ofdm
 
 
 
 

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