VS 1 Vpk 100 Hz ODeg 2.2uF IC=OV R1 m 1000 C2 1uF IC=OV >R2 2200
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:
![Circuit Value
Xci 1/[2()(C₁)]
Xc21/[2(f)(C₂)]
RT = R₁ + R₂
Xcr Xer+Xcz
P
ZT=RT+XCT
IT = VS! ZT
VCI-ITX XCI
Vez ITXXez
VRI= ITX R₁
VR2 IT R₂
Rectangular
***
1860
Res
*
AVAS
1.8
***
1800
f=1 kHz
899
***
Polar
**
Les
Baster
NO
Rectangular
enge
bons
****
***
ww
f= 10 kHz
05
83.
***
Polar
APE A
***
**
ABO
B
16G](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F946d2131-1df4-4d93-acc7-a27f80ccabfd%2Fe93440d6-1c30-4601-930c-223a5c618328%2Fr127byi2_processed.jpeg&w=3840&q=75)
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