Note: You will need to download the Python otebook channelfrom the course web-page. Before performing the experiment, read t comments in the notebook.
1. Construct a small artificial bit-stream ( 5 7 bits), and convert the stream into NRZ-L Binary PCM signals. Pass this (sampled)channelwaveform through the (digitally simulated)
analog channel using the given function , without adding noise. Vary the cut-off frequency of the channel, plot the received signal and observe the ISI effect. Adjust the cut-off frequency of the Butterworth filter depending on your waveform sampling rate.
2. Generate a random bit stream (or use a bit stream from the audio file of the pr vious lab) and convert it into the binary NRZ-L PCM signal. Pass this (sampled) waveform through the (digitally simulated) analog channel using the given function channeland detect the transmitted message using matched filter followed by a decision process.
3. Compute the bit-error probability for different cut-off frequencies and noise variance. Once the cut-off frequency is low enough, how does increasing the signal power affect the bit-error probability?
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