2013
DOI: 10.5121/ijcsit.2013.5512
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The Application Wavelet Transform Algorithm in Testing ADC Effective Number of Bits

Abstract: In evaluating Analog to Digital Convertors, many parameters are checked for performance and error rate.One of these parameters is the device Effective Number of Bits. In classical testing of Effective Number ofBits, testing is based on signal to noise components ratio (SNR), whose coefficients are driven viafrequency domain (Fourier Transform) of ADC’s output signal. Such a technique is extremely sensitive tonoise and require large number of data samples. That is, longer and more complex testing process as the… Show more

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Cited by 3 publications
(2 citation statements)
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References 15 publications
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“…That is, a discrete signal X[n] decomposition can be presented as in (7). followed by a down-sampling by two driven by mother wavelet and the scaling function [20], [21], [28], as shown in Figure 1, which makes DWT suitable for signal analysis with fewer data samples and particularly for transient signals. However, in this work, instantaneous amplitude measurements and waveform dynamic range will be based on the low-pass approximation coefficients to eliminate noises and obtain an accurate reading.…”
Section: Wavelet Transformmentioning
confidence: 99%
“…That is, a discrete signal X[n] decomposition can be presented as in (7). followed by a down-sampling by two driven by mother wavelet and the scaling function [20], [21], [28], as shown in Figure 1, which makes DWT suitable for signal analysis with fewer data samples and particularly for transient signals. However, in this work, instantaneous amplitude measurements and waveform dynamic range will be based on the low-pass approximation coefficients to eliminate noises and obtain an accurate reading.…”
Section: Wavelet Transformmentioning
confidence: 99%
“…Therefore, an increase in ADCs number of bits results in code increases by 2 n (n is number of ADC bits) and increase number of data samples making the testing process very lengthy. In addition, conventional methods of testing waveform characteristics such as FFT and Sinusoidal Histogram have been known to include error in testing compile process and estimation results [2], [6]- [8]. For instance, while FFT is based on additive noise model and require a large number of samples bit [1], [2], [9], [10], Sinusoidal Histogram majority of samples collected are localized at both ends of the Histogram to produced larger error near the peaks [2].…”
Section: Introductionmentioning
confidence: 99%