This series will cover how to use the noise specifications in the ADC data sheet to predict system noise. It will also cover the use of TINA SPICE to aid in the overall analysis of the system noise. Key concepts like noise bandwidth, quantization noise, thermal noise, amplifier noise, and reference noise will be covered.
TI Precision Labs (TIPL) is the most comprehensive online classroom for analog signal chain designers. From foundational knowledge to advanced concepts, our logical, sequenced and comprehensive teaching approach is both intuitive and practical. The training series, which includes videos and downloadable reference materials, will deepen the technical expertise of experienced engineers and accelerate the development of those early in their career.
The JESD204B video blog series explores the basic concepts related to the JESD204B SerDes standard in relation to High Speed Data Converter products.
This series explores the new realm of RF sampling converters for use in high frequency, large bandwidth systems.
This series explores advanced topics related to the JESD204B SerDes standard associated with extending the link length and multi-device synchronization.
This series covers general updates on Texas Instruments' high-speed signal chain portfolio.
These videos describe the key specifications listed in an analog-to-digital converter data sheet.
These videos describe the different types front-end topologies that can be used to drive the input signal of an ADC.
These videos describe how to calculate error and noise of analog-to-digital converters (ADCs).
These videos describe how to analyze analog-to-digital converter (ADC) performance specifications that are measured using ac input signals, such as SNR, THD, SINAD, and SFDR.
These videos describe how to design the input driver circuitry for a successive approximation register analog-to-digital converter (SAR ADC).
The goal of this section is to cover reference specifications, gain a deeper understanding of the SAR voltage reference behavior, and develop methods for driving the reference input that minimize error.