Understand and optimize sampled data systems

data collectionQuantificationdistortion

Analog-to-digital (or digital-to-analog) data conversion is an important component in many forms of electronic systems, but the technique of data sampling raises many design issues and considerations. The first part of this online seminar series will explore the fundamentals of data sampling and the implications of quantization, undersampling and oversampling, process gain, anti-aliasing filtering, and more. Part Two will explore mainstream data converter architectures in detail and help listeners understand how sampling, quantization, and digitization occur and, more importantly, how this affects the correct selection of converters in a given application. This seminar will also discuss the sources of sampling anomalies that affect linearity, distortion, and noise and how to manage them.

Total of 2 lessons1 hours and 36 minutes and 42 seconds