New book online丨Takes you through the common problems in data sampling systems!
Latest update time：2021-09-05 06:02
Reads：
If you type the keyword "sampling system design"
into the search engine
, you can get a variety of questions:
"How to design a high-precision ADC sampling system?", "Is there any way to minimize jitter when designing a clock sampling system?", "What is the significance of the Nyquist criterion for data sampling system design?"
... Yes, our world is undergoing the third wave of transformation in the field of information and communication technology, which is characterized by ubiquitous sensing and connectivity. Data is playing an increasingly important role in all industries, and more and more engineers are encountering difficult problems in designing data sampling systems.
As a leading semiconductor technology company, ADI specializes in sensing, collecting, interpreting, and then transmitting data to the cloud, building a bridge between the physical world and the digital world. ADI Think Tank has launched
the book
"Basics of Data Sampling Systems"
, which contains 10 technical articles and 100 pages, to help you sort out and understand common problems in data sampling systems!
<< Scan the QR code on the book cover >>
<<Free download of
"Basics of Data Sampling Systems"
>>
Book Summary
0
1
A magic formula
(SNR=6.02N+1.76dB)
When you come into contact with ADCs or DACs, you will definitely come across the often-quoted formula "SNR = 6.02N + 1.76dB" to calculate the converter's theoretical signal-to-noise ratio (SNR). Rather than blindly trusting appearances, it is better to understand its origins at a fundamental level, because this formula contains some subtleties that, if not explored in depth, can lead to misunderstandings of data sheet specifications and converter performance.
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