Vcc Rc 8. R1 Io Ii Rsig RL Vo Vin R2 Vsig Zout RE Zin Figure 4 8
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:
![Vcc
Rc
8.
R1
Io
Ii
Rsig
RL
Vo
Vin
R2
Vsig
Zout
RE
Zin
Figure 4
8](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5de7057e-b9f9-4a63-b5a3-7f20640b371b%2F4ffce843-1a9a-41bd-93b1-4bf87396c563%2F7yqiypd_processed.jpeg&w=3840&q=75)
![If the amplifier in Figure 4 operates with Rsig= 10 kQ and a load of RL=2kQ.
Draw the re model alternating current (ac) equivalent circuit of the amplifier.
Determine the input and output impedances.
Determine the voltage gain Vo/Vin and Vo/Vsig.
Calculate the current gain Io/Ii.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5de7057e-b9f9-4a63-b5a3-7f20640b371b%2F4ffce843-1a9a-41bd-93b1-4bf87396c563%2F3463h1_processed.jpeg&w=3840&q=75)
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