The ADS5400 is the industry's first 12-bit, 1-GSPS
analog-to-digital-converter (ADC) with buffered input to help simplify analog
front-end design in wide-bandwidth applications such as wireless
communications, defense, and test and measurement equipment. The ADC's 12 bits
of resolution combined with a 1-GSPS sampling rate effectively doubles the
amount of signal bandwidth that can be captured in a single 12-bit ADC. The
ADS5400 offers the highest SNR (59.1 dBFS), SFDR (75 dBc) and SINAD (58 dBFS)
available for systems digitizing greater than 200MHz of instantaneous
bandwidth, while the user-selectable single- or dual-bus DDR LVDS outputs
provide designers flexibility to choose between I/O speed and pin-count.
Customer's can use the ADS5400's ground-breaking combination of resolution,
sample rate and bandwidth to significantly enhance applications in defense by
improving radar and signal intelligence (SIGINT) capabilities, and can double
the capture bandwidth of signals with 12-bit resolution in test and
measurement. In effect, customers can use the ADS5400 to create higher
performance solutions for critical applications that were unachievable with
previous A/D technology.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.