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Q. What do you mean by Source Encoding?
After the quantization of message samples, the digital system will then code each quantized sample into a sequence of binary digits (bits) 0 and 1. Using the natural binary code is a simple approach. For a code with Nb bits, integers N (from 0 to 2Nb - 1) are represented by a sequence of digits, bN ,bN -1,...,b2,b1, such that
Note that b1 is known as the least signi?cant bit (LSB), and bNb as the most signi?cant bit (MSB).
Since a natural binary code of Nb bits can encode Lb = 2Nb levels, it follows that
L ≤ Lb= 2Nb
if L levels span the message variations. For example, in Figure (b), Nb = 3 and L = 8; the binary code word 010 represents 0(23-1) + 1(21) + 0(20) = 2 V, and 110 represents 1(23-1) + 1(21) + 0(20) = 6 V. Thus, binary code words with Nb = 3 are shown in Figure (b).
Q. What is Discrete signals? Discrete signals, on the other hand, exist only at specific instances of time, and as such, their functional description is valid only for discrete
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