Table of Contents
What is difference between single slope and dual slope ADC?
Dual slope ADC is preferred over the single slope analog to digital converter. As the reference voltage, resistor R, and capacitor C are fixed for a given analog to digital converter, the input voltage is directly proportional to time.
What advantage we get by using dual slope than using single slope?
The advantage of using a dual-slope ADC in a digital voltmeter is that its accuracy is high. Dual slope ADC: 1. Dual slope integration type ADC is the most accurate type of ADC because of non-dependency on variation in component values caused by noise.
What is the time of conversion of dual slope ADC?
A complete block diagram of a dual-slope converter is shown in Figure 3. Figure 3. Dual-slope converter. As an example, to obtain 10-bit resolution, you would integrate for 1024 (210) clock cycles, then deintegrate for up to 1024 clock cycles (giving a maximum conversion of 2 × 210 cycles).
How does single slope ADC work?
The is the basic idea behind the so-called single-slope, or integrating ADC. Instead of using a DAC with a ramped output, we use an op-amp circuit called an integrator to generate a sawtooth waveform which is then compared against the analog input by a comparator.
Why does ADC slope downwards?
The aggregate demand (AD) curve slopes downward because output decreases as the price level increases. Increases or decreases in autonomous spending components can shift the AD curve. Through policy changes, the government can also shift the AD curve.
Which one is the fastest ADC and explain why?
The flash ADC is the fastest type available. A flash ADC uses comparators, one per voltage step, and a string of resistors. A 4-bit ADC will have 16 comparators, an 8-bit ADC will have 256 comparators.
Why is dual slope method preferred over ramp techniques?
Why is dual slope method preferred over ramp techniques? Explanation: During the process of integration, noise is canceled out by the positive and negative ramps in the dual slope method. The input signal is integrated only for a fixed interval of time and this is the basis for the dual slope method. 2.
Is dual slope ADC better than successive approximation ADC?
The dual slope, used mostly in measurement instruments such as a digital voltmeter, has a slow sampling rate. Successive-approximation ADCs have good resolution and moderately high sampling rate, while the flash converter offers the fastest sampling but typically has lower resolution.
How does dual slope ADC operate?
In dual slope type ADC, the integrator generates two different ramps, one with the known analog input voltage VA and another with a known reference voltage –Vref. Hence it is called a s dual slope A to D converter.
Why is dual slope ADC more accurate?
The dual-slope ADC has many advantages. Noise present on the input voltage is reduced by averaging. The value of the capacitor and conversion clock do not affect conversion accuracy, since they act equivalently on the up-slope and down-slope.
What is ADC slope?
Dual slope ADC: Dual-Slope integration type ADC is the most accurate type of ADC because of non-dependency on variation in components values caused by noise. It is quite slow in nature and used in application as digital voltmeter, multimeters etc.
Why does the AS curve slope upward?
The short-run aggregate supply curve is upward sloping because the quantity supplied increases when the price rises. In the short-run, firms have one fixed factor of production (usually capital ). When the curve shifts outward the output and real GDP increase at a given price.
What happens when two linear functions have the same slope?
If two linear functions have the same slope they are parallel. The slope of a linear function is the same no matter where on the line it is measured. (This is not true for non-linear functions.) Demand might be represented by a linear demand function such as P represents the price of that good.
Why is the slope of the regression line negative?
If we were to examine our least-square regression lines and compare the corresponding values of r, we would notice that every time that our data has a negative correlation coefficient, the slope of the regression line is negative.
What is the relationship between the value of R and slope?
The reason for the connection between the value of r and the slope of the least squares line has to do with the formula that gives us the slope of this line. For paired data ( x,y) we denote the standard deviation of the x data by sx and the standard deviation of the y data by sy .