Question: Could you please help me with this assignment? The purpose of this assignment is to simulate the transmission and reception of a text message (i.e.,

Could you please help me with this assignment?

The purpose of this assignment is to simulate the transmission and reception of a text message (i.e., character string) over a noisy communications channel. Suppose we wish to transmit the string Hello. We can translate this string into a bit stream as shown below: String: H e l l o . \0 (note: the last character \0 is the null terminator character) ASCII: 72 101 108 108 111 46 0 Binary: 01001000 01100101 01101100 01101100 01101111 00101110 00000000 Notice how this string can be expressed as 8 x 7 = 56 bits. Suppose we transmit each of these bits as voltages on an electrical signal (for simplicity, +1.0 V for binary 1 and 0.0 V for binary 0). We can simulate noise by encoding these bits in a double array of length 56 and then adding noise samples to the 1.0 and 0.0 values that will initially be loaded into the array. With a small amount of noise (low SNR), the values in this array for the first character H may be: 0.0143, 0.9985, -0.00124, 0.1076, 1.00325, 0.00173, 0.0563, 0.00474 With low noise, it is clear that the voltages near 0 represent binary 0 and the voltages near 1 represent binary 1. As a general rule, a receiver will take any voltages less than 0.5 and treat them as binary 0 and any voltages greater than or equal to 0.5 and treat them as binary 1.

Problem: Could you please help me with this assignment? The purpose of this

assignment is to simulate the transmission and reception of a text message

Problem 2 Write a function double add noise (double signal double SNR, int size) that accepts a signal of binary voltages (as a double array), a signal-to-noise ratio, and the size of the input array. The output should be a new array containing noisy signal samples Recall that the average power (per sample) of a discrete signal (array in this case) xInl is given as: N-1 signal N Also, recall that signal-to-noise ratio is defined as: signal SNR 510 G2 here o (sigma) is the noise standard deviation (per sample)

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