Answer the following questions. Clearly show your work. (a) Given a hexadecimal number 87FE, convert to its equivalent number in binary. How many bytes are required to represent the number? (b) Given an 8-bit binary number UTM&UTM UTM representation in unsigned decimal (6.e. standard binary). If the binary number above is represented in sign-magnitude, determine its equivalent representation in 2's complement. UT1010, determine the equivalent binary UTM & UTM & UTM UT UTH UTM UTM (c) Assume that you have two numbers A and B that are represented in 4-bit 2's UTMUTM&UTM &UTM & Umplement. What is of values for C, if C= A + B? Assume C is 5-bit 2's complement. UTM UTM UTM UTM 3 TM UTM&UTM ITMUT & Urlow

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Quantization and Resolution

Quantization is a methodology of carrying out signal modulation by the process of mapping input values from an infinitely long set of continuous values to a smaller set of finite values. Quantization forms the basic algorithm for lossy compression algorithms and represents a given analog signal into digital signals. In other words, these algorithms form the base of an analog-to-digital converter. Devices that process the algorithm of quantization are known as a quantizer. These devices aid in rounding off (approximation) the errors of an input function called the quantized value.

Probability of Error

This topic is widely taught in many undergraduate and postgraduate degree courses of: