Consider the following circuit where X is a logical function of A and B- where the function is configured by inputs C1 and Co to the decoder. Which of the folo 2 3 SSo (a) C Co X 0 0 0 1A+B 1 0 1 1 (b) C Co] x 00AOB 0 1 (c) C C X 00 AOB 0 1 (d) C C x 00 AOB 0 1 ΑΘΒ А. В А. В 10A+B 1| AOB А. В 10A+B 1| AOB А. В 1 AOB А.В 10 AOB 1 1 1 O a. Table (a) b. Table (b) C. Table (C) d. Table (d)
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
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![Consider the following circuit where X is a logical function of A and B- where the function is configured by inputs C1 and Co to the decoder. Which of the folo
2
3 SSo
(a) C Co X
0 0
0 1A+B
1 0
1 1
(b) C Co] x
00AOB
0 1
(c) C C X
00 AOB
0 1
(d) C C x
00 AOB
0 1
ΑΘΒ
А. В
А. В
10A+B
1| AOB
А. В
10A+B
1| AOB
А. В
1 AOB
А.В
10
AOB
1
1
1
O a. Table (a)
b. Table (b)
C. Table (C)
d. Table (d)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F535c57ed-9429-458e-a7b5-743fe878778d%2F40e9395f-c81d-4ea9-a265-a99eff535dd9%2F3a7oi9g.jpeg&w=3840&q=75)
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