10 µF vit C₁ Ra Vcc VBE 250 Ω c RC RE VCE 10 µF HE C₂ 40 μF Ic 18mA 12mA 6mA 0 Figure Q2(a) 5 10 15 60 με 30 μ.Α VCE (V)
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:
![Q2 (a) The emitter-stabilized bias circuit has the output characteristics as shown in Figure
Q2(a). The circuit is biased at Icq = 6 mA and VCEQ = 10 V.
(i) From the graph, determine IBQ, IEQ, IC(sat), VCE(cutoff), Vcc and beta (ß).
(ii) Hence, use the values in part Q2(a)(i) to calculate VẼ, RB, and Rc. Assume VBE
0.7 V.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe9ae79ea-5449-4aca-838b-4982c8c5d619%2F5de299ab-df5c-4f99-a6d0-f83a08798132%2Fnde66c_processed.jpeg&w=3840&q=75)
![10 µF
vit
C₁
Ra
Vcc
VBE
250 Ω
c
RC
RE
VCE
10 µF
(
C₂
40 μF
-0%
Ic
18mA
12mA
6mA
0
Figure Q2(a)
5
10
15
60 μα
30 μ.Α
VCE (V)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe9ae79ea-5449-4aca-838b-4982c8c5d619%2F5de299ab-df5c-4f99-a6d0-f83a08798132%2Fgicq51_processed.jpeg&w=3840&q=75)
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