GEL7114 - Module 2.3 - Binary Maximum Likelihood (ML) receiver
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GEL7114 - Module 2.10 - Probability of error (binary case)
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GEL7114 - Module 3.2 - Modulation formats
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GEL7114 - Module 5.7- Tree and trellis diagrams for convolutional encoders
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GEL7114 - Homework A3 - Viterbi Decoding for Convolutional Codes
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GEL7114 - Module 5.8 - Decoding a convolutional code with the Viterbi algorithm
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GEL7114 - Homework A2.2 - Parts II and III
GEL7114
GEL7114 - Module 2.2 - Bayes Law, MAP and ML rules
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GEL7114 - Module 2.5 - Matched Filter
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GEL7114 - Homework A2.1 - Part I and EVM
GEL7114
GEL7114 - Module 5.15 - Convolutional encoder example - 1/3 code rate
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GEL7114 - Module 2.6 - Signal Space
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GEL7114 - Module 5.10 - Viterbi decoding example
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