Different Analog to Digital Converters Architectures
Jyoti1, Manoj Kumar2
1Jyoti*, PhD, Electronics and Communication Engineering, University Institute of Technology, Rohtak.
2Manoj Kumar, M. Tech., Degree in Electronics and Communication Engineering, Kurukshetra University.
Manuscript received on January 13, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 1256-1263 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1641029420/2020©BEIESP | DOI: 10.35940/ijitee.D1641.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A series of recent studies has indicated that a mixed signal device analog to digital converters used for the processing of information and play a vital role in wireless sensors, Digital signal processing, Biomedical devices, in communication, IOT and various other applications. Across this broad use they give the significance in designing. The paper represents the various parameters like speed, area occupied, power consumption, sampling Rate, precision, Signal to noise ratio, Signal to noise distortion ratio, resolution, linearity and conversion time with respect to its different types and broad application in the real world. It defines errors due to non – linearity of signals as Differential nonlinearity, Integral nonlinearity, gain error, quantization error, aliasing and offset error. It also gives the comparative study about ADCs.
Keywords: Analog to Digital Converters (ADC ), Sampling rate, Power Consumption, Conversion Rate, Resolution, Errors.
Scope of the Article: Digital Signal Processing Theory