ing the same 4-bit ADC described above, what likely produce a binary output of 1
ID: 2293218 • Letter: I
Question
ing the same 4-bit ADC described above, what likely produce a binary output of 1000 37. Us uiput of 1000pve, what analog input voltage will 0.5 V 1.25 V 2.0 V 2.5 V 3.75 V b. d. uppose you are now using the 8-bit ADC circuit used in lab. This ADC converts an analog voltage between 0 and 5 volts into one of possible binary numbers. 38. S a. b. C. d. 8 16 64 e. 256 Using the ADC constructed in lab, assume the analog input is 2.51 volts. What would the digital output be? (Pick the most likely answer.) 39. a. 00001000 b. 01000000 c. 10000000 d. 10100000 11110000 40. What is meant by "quantization errors" when referring to ADC circuits? a. This is due to errors/bugs in the silicon chip. b. This is from interference from radio waves. c. This is due to the fact that an ADC can only produce 2n possible binary codes (n- number of bits) and therefore analog inputs are approximated by the digital outputs This is due to a high sampling rate. Quantization errors are exceedingly rare in modern electronics. d. e. 41. When using an ADC circuit, aliasing refers to a. when the ADC chip samples too slowly, creating an incorrect waveform b. when the ADC chip samples too quickly c. when there are not enough output bits on the ADC d. when Vref is not 2.5V e. when Vin is out of its allowed rangeExplanation / Answer
37). let us take the voltage between 0 to 4 volts. 4-bit analog to digital conveter we can divide the bits or voltage in to 2^4. 4volts we can represents as follows
0.00v 0000
0.25 0001
0.50 0010
0.75 0011
1.00 0100
1.25 0101
1.50 0110
1.75 0111
2.00 1000
accroding to the above representation the input voltage for the given digital output is 2.00 volts
38) here we are using 8-bit analog-to-digital converter. here the voltage is in between 0 to 5v
2^8 =256
so here 256 possible binary numbers are used
39). the digital output for 2.51v analog input is 10000000
40). quantization error: An analog to digital converter(ADC) can be modeled as two procsses: sampling and quntization. sampling converts a time varying voltage into a discrite signal a sequence of real numbers. Quantization replace each real number with an approximation from a finite set of discrete values. most commonly these discrete values are represented as fixed-point works
accroding to above defination option C is the suitable answer for the question.
41).This sampling rate is thus lower than the Nyquist rate, and the sampled signal bears little resemblance to the analogue signal. Note that the frequency of the sampled signal is much smaller than that of the analogue signal. This artifactual result due to improper choice of the sampling rate is called aliasing.
accroding to above defonation option A is suitable for that quation .
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