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- W2492954949 abstract "Publisher SummaryThis chapter discusses about different coding and quantizing used in data conversion systems. It compares and contrasts analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) in detail. ADCs translate analog quantities, which are characteristic of most phenomena in the “real world,” to digital language, used in information processing, computing, data transmission, and control systems, while DACs transform transmitted or stored data, or the results of digital processing, back to “real-world” variables for control, information display, or further analog processing. This chapter illustrates that in data conversion systems, the coding method must be related to the analog input range of an ADC or the analog output range of a DAC. The chapter then explains unipolar code, gray code, bipolar code, and complementary codes. It further discusses about DAC and ADC Static Transfer Functions and DC Errors. The most important thing to remember about both DACs and ADCs is that either the input or output is digital, and therefore, the signal is quantized. It points out that the resolution of data converters can be expressed in several different ways such as the weight of the Least Significant Bit (LSB), parts per million of full-scale (ppm FS), millivolts (mV), and so on. The chapter also explains the four DC errors in a data converter, which are offset error, gain error, and two types of linearity error (differential and integral). It briefs about missing codes too." @default.
- W2492954949 created "2016-08-23" @default.
- W2492954949 creator A5074757995 @default.
- W2492954949 date "2005-01-01" @default.
- W2492954949 modified "2023-09-25" @default.
- W2492954949 title "Coding and Quantizing" @default.
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- W2492954949 doi "https://doi.org/10.1016/b978-075067841-4/50010-5" @default.
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