The new PCI ExpressÂ® (PCIe) high-speed data acquisition card
with on-board field programmable gate array (FPGA) for real-time data
processing, provides higher sampling rates, faster measurement throughput and
even more flexibility to OEMs and many test and measurement engineers, while
maintaining precision and cost effectiveness. The Agilent U1084A Acqiris
high-speed data converter leverages the performance of Agilent's leading-edge
technology and know-how to meet the most demanding requirements. The product's
PCIe form factor and flexible architecture are ideal for use in medical
imaging, scientific instrumentation, non-destructive testing (NDT) and even the
validation of mixed-signal semiconductors in automated test equipment. The
extreme performance of the digitizer is also suited to advanced research in to
high-energy physics, nuclear physics and astrophysics. The product represents
the first implementation of Agilent Acqiris know-how and technology in to the
PCIe form factor. Designed for easy
implementation into desktop PC's and other PCIe systems, the card provides
incredible performance for integration as the key high-speed acquisition
component in any design. On-board FPGA
processing maximizes measurement throughput, by providing real-time data
reduction. Off-the-shelf firmware
includes signal averaging and peak analysis running at the full 4 GS/s
acquisition rates of the card. Combined
with up to 520 MB/s bus transfer with 4x PCIe measurement data can quickly be
passed to a host processor for application specific processing. The product
includes much Agilent IP designed specifically for high-speed data
acquisition. Most notably the on-board
FPGA is capable of finding, in real-time, the position of a trigger with a time
resolution of 10ps. This provides
increased timing resolution over alternative solutions in a PCIe digitizing
card that can be simply integrated as an off-the-shelf component.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.