To what extent may a message's parity bits be deduced?

What is the most number of mistakes that a message's parity bit can find?

Consider a floating-point format with 8 bits for the biased exponent and 23 bits for the significand. Show the bit pattern for the following numbers in this format: a. -720 b. 0.645

In single precision (IEEE-754 standard), 8 bits are used for storing the exponent (the bias is 127), and 23 bits are used for storing the mantissa.  (a) What are the smallest and the largest positive numbers that can be stored in single precision? (b) What is the smallest value of the mantissa that can be stored?

2. Use Huffman coding to frequencies : a : 14 b: 10 What is the average number of bits required to encode a character ? encode these symbols with given c : 4 d : 24 e : 16 f: 32

With step by step solution please Using IEEE 754 representation for single precision floating point, give the 32-bit binary encoding for the numbers below. Show the sign, exponent, and mantissa (significand). a. 11.2265625

1. Write down the IEEE double-precision representation for the following decimal numbers: (a) 1.5, using round up. (b) 5.1, using round to nearest. (c) -5.1, using round towards 0. (d) -5.1, using round down.

Using the CRC polynomial 1101, compute the CRC code word for the information word, 01001101. Check the division performed at the receiver assuming there is no error.

"Rabenstein code was used to send a message with 4 information bits, you receive 100110001 , if you can expect at most one bit of corruption, what were the original information bits?

Using 32-bit IEEE 754 single precision floating point with one(1) sign bit, eight (8) exponent bits and twenty three (23) mantissa bits, show the representation of -11/16 (-0.6875).