XFG1 C1 HH 1μF R3 33002 L1 330mH er R1 1000 R2 m 10002 XSC1
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:
![5. Discussion:
1. Discus your results.
2. Calculate the total admittance B for circuit shown in Fig. 4.
XSC1
XFG1
R1
33002
25
XFG1
52M
gram &
XFG1
acagi
L1
m
330mH
XFG1
L1
m.
330mH
C1
HH
1µF
C1
HH
1μF
Kect Header
Fig. 1
C1
HH
1μF
L1
330mH
RLC series circuit
m
33002
R3
m
33002
Fig. 2
R1
m
33002
H
Fig. 3
R2
100Q2
R1
m
10022
R2
m
10002
R2
10002
Anmed
XSC1
R2
m
10022
Ext Tri
xsC1
XSC1
Ext Tri](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F58538105-568f-49df-9539-0c3306d81d5e%2F8714c922-9586-4a1c-822e-10000980716f%2F9cikblg_processed.jpeg&w=3840&q=75)
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