Objective: To be able to predict the input voltages at which the ADC output code transitions to various codes and to be able to identify ADC accuracy limitations due to the quantization process and describe DNL, INL, TUE and how they relate to overall ADC operation.
Length: 60 minutes
Published Date: May 26, 06
Step(s) to complete
- Complete the suggested assignments
- Complete the online test to receive a certificate from Bob Pease
About the Instructor: Nicholas "Nick" Gray is a Staff Applications Engineer with National Semiconductor's Data Conversion Products Group in Santa Clara, California, where he has been employed since 1991. He is currently working on the development of new products in the area of Analog-to-Digital Converters. A writer of many technical articles, Nick's career includes video circuit design and 19 years as an applications engineer for data conversion products. Nick holds a BSEE degree from Gonzaga University, Spokane, Washington (1965) and has done graduate work at California State University, San Jose.
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Complete the course below
ADC Quantization: Error and Noise
This course is a complete on-line learning environment. Inside you will find the following chapters:
- Quantization and Quantization Error
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Linearity
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Quantization Noise
When you are finished with this course, take the mastery test (click on the Test Yourself button). When you pass the mastery test, you will receive a special certificate from our Dean of Education.
Other Resources:
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Use our WEBENCH® on-line design and simulation tool for you next Data Acquisition.
Alternative entry to the course ADC Quantization: Error and Noise
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