Sampling Rate ≠ Data Accuracy Faster sampling doesn’t always mean more accurate results. Engineers can sometimes fall into the trap of thinking a high sampling rate will automatically lead to better data. But if you’re not using an ADC with the right resolution, you'll just get a lot of imprecise data faster.
Aliasing: The Ghost in the Signal Aliasing happens when your sampling rate is too low to accurately capture the changes in an analog signal, causing it to "look" like a lower frequency than it actually is. It’s like watching an old movie where the car wheels seem to spin backward. To avoid this, make sure your sampling rate follows the Nyquist Theorem, which says you need to sample at least twice as fast as the highest frequency in your signal.engineers are in for a wild ride because they can expect to deal with higher complexity, tighter integration, and an ever-growing need for security.
ADCs may not be the flashiest part of embedded design, but they’re an essential bridge between the analog signals all around us and the digital processors that control our devices. What would you like to see, more editorial or less, more of a particular topic, or less? Let us know. Reach out to the Product Editor | 
