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- The Survey Says
. . . Barbara G. Goode
- Java vs. ActiveX
A battle is raging, and the prize will be control of the market. The victor will influence
not only the computer industry but also the realms of data acquisition and control. Mark
Gibbs
- Consider the
Options Before Tackling the Mixed-Signal Design
To compete in the sensor signal conditioning arena, you must evaluate the tradeoffs of
speed vs. accuracy offered by the SAR and D-S A/D converters on the commercial market, and
design-out their deficiencies. Bonnie C. Baker
- Defusing the DA
Time Bomb
To be sure that the sensor data you acquire are valid, you must understand aliasing and
apply the appropriate remedies. (Hint: The problem must be solved in the analog domain.) Dale
Lankford
Again, we address the important issue that Strether Smith raised in his article, The DA Time Bomb,
in the last Data Aquisition special issue.
- Designing the Noise
out of DA Boards
When PC-based data acquisition boards became available, manufacturers and users alike
thought the noise and interference inside computers made these systems poor candidates for
applications requiring high accuracy. But if a board is designed properly, you can enjoy
the benefits of PC-based systems and still get the accuracy you require. Mark Clarkson
- A Do-It-Yourself
Data Acquisition Card
(or, DA on the Cheap)
In most cases, buying a data acquisition card from a commercial vendor is your best bet,
but occasionally the do-it-yourself approach makes sense. Ed Ramsden
- Data Acquisition in
the Fast Lane
Data acquisition systems are gaining speed through the use of new techniques and
technologies. And the ability to move and manipulate data faster is drawing these systems
into a new realm of applications. Dave Wilson
- The Sensors
Glossary of Data Acquisition and Signal Processing
This glossary was so popular last year that we're running it again, with a few additions.
And you might want to visit www. sensorsmag.com/da98 for another helping of Sensors Data
Acquisition Alphabet Soup, which spells out 105 terms you usually encounter as initials
only. Ed Ramsden
- Data Acquisition
Alphabet Soup
This handy reference spells out 105 terms you usually encounter as initials only.
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