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The noise is Gaussian noise because the values you add to your existing images follow a Gaussian distribution, not the locations of where you add the noise - that is uniform (and not random at all - ...

Here is a coding scheme that demonstrates the main idea: Encoding: Let the power constraint $P$ be fixed and suppose we want to transmit one information bit a time. We set our coding scheme as $X(0) =...