Projects STRLCPY wirelesscomm Commits 9979fa08
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    readme.md
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    58 58   * Demo: Uncoded BER on fading channel [[PDF]](./unit04_coding/demo_uncoded.pdf) [[Matlab Live]](./unit04_coding/demo_uncoded.mlx)
    59 59   * Demo: Convolutional coding on a fading channel[[PDF]](./unit04_coding/demo_conv.pdf) [[Matlab Live]](./unit04_coding/demo_conv.mlx)
    60 60   * Lab: 5G NR Downlink Throughput with Fading and LDPC coding [[PDF]](./unit04_coding/lab_partial/labPdsch.pdf) [[Matlab Live]](./unit04_coding/lab_partial/labPdsch.mlx)
     61 + * Problems: [[PDF]](./unit04_coding/prob/prob_coding.pdf) [[Latex]](./unit04_coding/prob/prob_coding.tex)
    61 62  * Unit 5. MAC-Layer Concepts
    62 63  * Unit 6. Channel Estimation and Equalization
    63 64  * Unit 7. Multiple Antennas and Beamforming
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    unit04_coding/lab_partial/NRUERxFD.m
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    72 72   % TODO: Get the LLRs with the nrPDSCHDecode() function.
    73 73   % Use carrier and PDSCH configuration, the equalized symbols,
    74 74   % and the noise variance, noiseVar.
    75  - % [obj.pdschEq,csi] = nrEqualizeMMSE(...);
     75 + % [dlschLLRs,rxSym] = nrPDSCHDecode(...);
    76 76  
    77 77   % Scale LLRs by EbN0.
    78 78   % The csi value computed in the nrEqualizeMMSE()
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