Images and videos captured using camera is stored in any digital device, is also converted into digital form using ADC.Originally the voice is in analog form, which is converted through ADC before feeding to the cell phone transmitter. Cell phones operate on the digital voice signal.So an ADC is used for converting analog signals into digital signals. But not every quantity is in digital form instead they are in analog form. These digital devices operate on the digital signal. In the modern world of growing technology, we are dependent on digital devices. Related Post: What is Quantization & Sampling? Types & Laws of Compression Application of ADC It can be digital 5, which will be the offset of the ADC. For example, for input v in = 0, the output might not necessarily be digital 0. The offset in ADC is the shift in the digital output.
If the highest frequency of the analog signal is f, the signal can be reconstructed successfully from its samples, if the samples are taken at a sampling frequency greater than 2f.
Nyquist criteria suggest the minimum possible sampling rate for an analog signal which can be reconstructed successfully. it blocks the aliasing components from being sampled. Anti-aliasing filters are also used for removing the frequency components higher than one half of the sampling rate. To avoid this problem, the sampling rate should be kept higher than twice the frequency of the input signal. In fact, it will become a different signal after reconstruction. If the sampling rate is very low then the resultant signal will not look anything like the original signal. This example shows that the sampling rate is 0.5 sec, as it takes 2 samples in one second. The sampling rate should be set according to the input signal. The number of samples taken during a single second is known as sampling rate or sampling frequency. Related Post: Types of Modulation Techniques used in Communication Systems.Consequently, the quantization error decreases. The increase in the resolution of the ADC decreases the step-size if the v ref remain constant. In other words, the difference between the input and the digital round-off figure of output is known as quantization error. Any change less than Δv/2 will not be registered. The ADC updates its value if the increase or decrease in its input voltage is greater than Δv/2. If analog input is increased by 0.01v then the output is increased by 1 bit. In this ADC, a single bit increase represents a 0.01v of increase in the analog input. Thus the step-size or width of the step is 0.01v. To better understand the idea of resolution of ADC, These discrete values are represented using binary numbers (bits). On the other hand, the digital signal has a discrete and finite number of values. real, floating basically any value one can imagine. The analog signal has continuous amplitude. Resolution of an ADC is the number of bits that represents the digital signal’s amplitude. Related Post: Binary Multiplier – Types & Binary Multiplication Calculator.This whole conversion occurs in a microsecond. This is the whole process of converting an Analog signal into digital form using an Analog to Digital Converter. into bits.Īs we know that the digital devices operate on binary signals so it is necessary to convert the digital signal into the binary form using the Encoder. The encoder block converts the digital signal into binary form i.e. The signal is now in digital form as it has discrete time & discrete amplitude. The on hold continuous amplitude value in hold block goes through ‘ quantize’ block & becomes discrete in amplitude. It converts the analog or continuous amplitude into discrete amplitude. The hold value remains unchanged till the next sample. It only holds the sample amplitude until the next sample is taken. The second block used in ADC is the ‘ Hold’ block. The sampling rate is set according to the requirement of the system. The sampling frequency plays important role in the conversion.
The samples are taken in continuous amplitude & possess real value but they are discrete with respect to time. The sample block function is to sample the input analog signal at a specific time interval. The conversion from analog signal to a digital signal in an analog to digital converter is explained below using the block diagram given above. At last, the ‘ encoder‘ converts the discrete amplitude into a binary number. The hold sample is quantized into discrete value by the ‘ quantize‘ block. The sample amplitude value is maintained and held in the ‘ hold‘ block. The analog signal is first applied to the ‘ sample‘ block where it is sampled at a specific sampling frequency. Related Post: Digital to Analog Converter (DAC) – Types, Working & Applications.This conversion is done using analog to digital converter. These analog quantities are converted into digital form so that a digital device can process it.
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