For the network shown in Figure B22 , assume E = 17V,Diode D1, D2 as Germanium Ri-2KΩ and R-3ΚΩ. Calculate, i. Current I1, i. Current Ip2 ii. Voltage across resistor R2 R1 D1 + D2 E Ip2 12 R2
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:
![For the network shown in Figure B22 , assume E = 17V,Diode Di, D2 as Germanium
Ri-2KΩ and R2-3ΚΩ.
Calculate,
i.
Current I1,
i.
Current ID2
ii.
Voltage across resistor R2
R1
D1
+
E
D2
I2
R2
Figure B22](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa8c76e15-f195-4416-9ab6-34f551d43c56%2Fb17554ac-3f23-44b4-a025-d2720f9b0c9b%2Fw4yyyy6_processed.png&w=3840&q=75)
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