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Wednesday, 15 May 2013. Modelling a Communication System and Bit Error Rate. In this example, we will see how we can model a simple communication channel. We will consider two cases A simple Additive Gaussian noise channel and Rayleigh fading channel. Our signals are complex variables here which signifies both I and Q components. Now let us turn all the elements bigger than 0.4 to 1 and rest to 0. Note that since the original vector is uniform between 0 and 1, the output vector will have 1 with.Yd .

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MATLAB By Examples

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Wednesday, 15 May 2013. Modelling a Communication System and Bit Error Rate. In this example, we will see how we can model a simple communication channel. We will consider two cases A simple Additive Gaussian noise channel and Rayleigh fading channel. Our signals are complex variables here which signifies both I and Q components. Now let us turn all the elements bigger than 0.4 to 1 and rest to 0. Note that since the original vector is uniform between 0 and 1, the output vector will have 1 with.Yd .

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This web page matlabbyexamples.blogspot.com states the following, "Modelling a Communication System and Bit Error Rate." We saw that the webpage said " In this example, we will see how we can model a simple communication channel." It also said " We will consider two cases A simple Additive Gaussian noise channel and Rayleigh fading channel. Our signals are complex variables here which signifies both I and Q components. Now let us turn all the elements bigger than 0. 4 to 1 and rest to 0. Note that since the original vector is uniform between 0 and 1, the output vector will have 1 with."

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