As a percentage, this is (115)100 6.67. The resolution should be sufficiently high to support the expected tolerance for the DAC application.To get more targeted content, please make full-text search by clicking here.
![]() Quantisation is an important process used in digital signal processing. It is the process of converting a sampled level to a binary code. ![]() The most straightforward method of interpolation is linear interpolation, which is connecting each sample point with a straight line to the next sample point. The reconstructed signal is sometimes not very smooth in comparison to the original signal. The difference between the two signals is called quantisation noise and it is possible to reduce this noise by increasing the sampling rate to get more sample values, increasing the number of bits and therefore levels used to store values between the highest and lowest values or using a better method for interpolation. IndividualGroup Activity You may answer the following questions by yourself or while working in small groups: 2) Fill in the missing words in this sentence, using words from the word bank. The sampling is a way of a sinusoid waveform as a of numbers, or. Word bank: set samples process interpreting 150 VCl: 3.3 Digital-to-Analogue Conversion 0.urpe a. Introduction to Digital a. Digital to analogue conversion is the process of taking a value represented in code, such as binary or Binary Coded Decimal (BCD), and converting it to a voltage or current that is proportional to the digital value. You will learn about one type of DAC, the Binary-Weighted-Input DAC, which is basically a resistor network with resistance values that represent the binary weights of the input bits of the digital code. The primary characteristics of DACs that are important to consider when choosing a DAC method (or DAC Integrated Circuit) for a specific purpose include resolution, accuracy, linearity, monotonicity and settling time. You will be introduced to each of these terms in this module. Discuss performance characteristics of Performance characteristics of Digital-to Digital-to-Analogue converters. Analogue converters are discussed. ![]() In block diagram form this looks like Figure 3.3.1 below. Binary DAC Analogue input signal output Figure 3.3.1 DAC in block diagram form T3 DACs are available as integrated circuits (ICs), but it is still important to understand the performance characteristics so understanding the basic circuitry is helpful. Two basic methods that can be used to perform digital to analogue conversion is shown in Table 3.31 below. DAC Converter Method 12 Binary-Weighted- R2R Ladder DAC Input DAC High level High level description description This method A resistor network overcomes some with resistance of the problems values that represent the of the Binary- binary weights of Weighted-Input the input bits of method above and the digital code. For example, T3 an 8-bit DAC of this type would require eight resistors, ranging from some value of R to 128R in binary-weighted steps. This range of resistors would require tolerances of one part in 255, less than 0.5 to accurately convert the input. Performance characteristics of digital-to-analogue converters The primary characteristics of DACs that are important to consider when choosing a DAC method (or DAC Integrated Circuit) for a specific purpose include: Resolution: This is simply the reciprocal of the number of discrete steps in the output. For example, a 3-bit DAC has a resolution of one part in 23 1 (one part in seven). As a percentage, this is (17)100 14.29. A 4-bit DAC has a better resolution of one part in 24 1 (one part in fifteen). As a percentage, this is (115)100 6.67. The resolution should be sufficiently high to support the expected tolerance for the DAC application.
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