Archive for March 2013

Hardware limitations in eval kit?
I recently discovered the eval kit and it looks like a great way to explore the limits of Labview's RIO platform so I can better serve my customers. I'm having a hard time finding any details on the hardware though.
Plain - LabVIEW code to solve Sudoku using recursion and backtracking - Hello Puzzlers, Sudoku is a logic-based, combinatorial number-placement puzzle. The objective is to fill a 9×9 grid with digits so that each column, each row, and each of
Plain - Acquire HDMI signal with LabVIEW and VMS - Introduction This example displays both Total (with blanking intervals) and Active frames of the digital video test signal acquired from a hardware device or VBF file. Specifically, this example
Triple Beat and IMD for RF Switches   Introduction Intermodulation distortion or IMD is an important issue in RF devices. You normally associate intermodulation distortion wit...
There are two types of Knights: Knights who say "NI!" and the Knights of NI:
http://bit.ly/14rOilx


The Knights Who Say "Ni!"
Monty Python Holy Grail http://www.amazon.com/Monty-Python-Trinity-Pythons-Meaning/dp/B001E12ZAM/ref=sr_1_1?ie=UTF8&s=dvd&qid=1226692215&sr=1-1

Here's yet another way that LabVIEW is being used to solve pressing, real-world problems. Read more about our case studies and customer applications here.

 

Noncontact remote detection of vital human signs is attracting great scientific and industrial interest because of potential applications such as searching for survivors after earthquakes, monitoring sleeping infants or adults to detect abnormal breathing conditions, administering smart e-healthcare, and tracking tumors. While the concept of noncontact detection of vital signs was demonstrated before 2000, research efforts in this century have been moving the technology toward reality with advanced hardware and signal processing algorithms.


Prior to our research, the Doppler radar technique was used to sense physiological movements. However, these techniques were mostly instrument based and required several advanced RF/microwave components such as a spectrum analyzer, signal generator, and signal analyzer. Thus, the cost of building a bioradar system was high. In addition, once the measurements were taken, post signal processing had to be performed using different techniques. However, by implementing the system using NI PXI hardware, we did not require separate microwave components and we achieved real-time signal processing simultaneously with data acquisition in NI LabVIEW system design software.


Using LabVIEW system design software and NI PXI hardware, we built a continuous-wave Doppler radar system that applies the Doppler effect to measure human physiological signals. A transceiver system featuring two patch antennas and the NI PXIe-8133 controller measure vital signs, and real-time signal processing was implemented in LabVIEW. Figure 1 shows the port connections for the entire system.

 

LVblog1JPG.JPG

Figure 1. Diagram of the Overall System


Once the received signal has been downconverted and digitized by the NI PXIe-5622, the LabVIEW program is used to read the digitized I/Q channel data and to display the data in a time domain. A fast Fourier transform is used to view the spectrum of the combined complex data in a frequency domain as well. With the proper setup, periodic physiological signals can be seen in the time domain, and the corresponding peaks can be seen at breathing and heartbeat frequencies in the frequency spectrum.


By taking advantage of the powerful PXI and LabVIEW tools, the smart bioradar system offers unlimited possibilities for signal processing experts, radar engineers, and biomedical engineering professionals to explore further.

NI Home Overview Watch the highlights from NIWeek 2012. View Now (watch) 3 minute(s) webcast Requires: Adobe Flash Next Steps Questions? Get real-time assistance now! Reader Comments | Submit a comment
NI Home Overview Watch the highlights from NIWeek 2012. View Now (watch) 3 minute(s) webcast Requires: Adobe Flash Next Steps Questions? Get real-time assistance now! Reader Comments | Submit a comment
Goo Goo for LabVIEW? See how NI UK utilized Optical Flow to track points of interest! http://bit.ly/16k3FLo


Community: Googly Eyes (Powered by LabVIEW)
decibel.ni.com
EXAMPLE - Googly Eyes (Powered by LabVIEW) - One fateful morning, I was pursuing the awesome LabVIEW example finder (Help >> Find Examples). I spotted an interesting application called “Optical Flow Feature Tracking Example.vi