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ission system sends a 0 bit by transmitting a zero volts signal, and a 1 7 A binary bit bytransmitting +2 volts signal. The received signal is corrupted by noise and is givern by: Y-X+N, where X is the transmitted signal, and N is a noise voltage with double- exponential pdf given by; 0 1เ The receiver detects the transmitted signal by comparing Y to a threshold voltàge of +1 volts. If Y<+1 then the rcceiver decides that U is transmitted. Otherwise if Y20 the receiver decides that “I ” is transmitted. Find the df of Y given that transmitter sends 0 bit, and find pdf of Y given that Transmitter sends 1bit. 3 pt. 3 pt c. Find the probability of error for this receiver, which is the probability that the receiver 4 pt b. Assume that 0s and Is are sent with cquai probability find pdfotY. detects I given that the transmitter sends IOR the receiver detects 1 given that transmitter sends 0.

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A binary transmission system sends a 0 bit by transmitting a zero volts signal, and a 1 7 A binary bit bytransmitting +2 volts signal. The received signal is corrupted by noise and is givern by: Y-X+N, where X is the transmitted signal, and N is a noise voltage with double- exponential pdf given by; 0 1เ The receiver detects the transmitted signal by comparing Y to a threshold voltàge of +1 volts. If Y<+1 then the rcceiver decides that U is transmitted. Otherwise if Y20 the receiver decides that “I ” is transmitted. Find the df of Y given that transmitter sends 0 bit, and find pdf of Y given that Transmitter sends 1bit. 3 pt. 3 pt c. Find the probability of error for this receiver, which is the probability that the receiver 4 pt b. Assume that 0s and Is are sent with cquai probability find pdfotY. detects I given that the transmitter sends IOR the receiver detects 1 given that transmitter sends 0.

Write the equation CDF of Y in terms of CDF of N Let, A is the event that O is transmitted and B the event that 1 is transmitted. Where, Consider the following CDF equation. The PDF of RV Y is the derivative of the CDF with respect to y The Gaussian RV has PDF exp exp exp 1 p

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