2011

Improving Fidelity of Noise Repetitive Signals with Signal Averaging Technology

Please Login at the top
of the page to download.

For many high-speed data acquisition applications requiring extraction of small repetitive signals from noisy environments, such as LIDAR or optical fiber testing, minimizing the effects of noise is a challenge for system design. Signal averaging provides dependable and efficient results. The article illustrates how FPGA-based signal averaging technology processes signals and reduces noise effects, improving signal-to-noise ratio (SNR) without occupying valuable CPU bandwidth.

 

 

 

 

 

White Papers

Achieve Better Process Controls with Light Cure Technology
Sponsored by dymax
OEM Optical System Development
Sponsored by Ocean Optics
Additive Manufacturing Initiatives at Sandia National Laboratories
Sponsored by stratasys
Force Sensors for Design
Sponsored by Tekscan
Unique Method for Orifice Production
Sponsored by Bird Precision
Improving Absorption Measurements through Light Source Selection
Sponsored by Ocean Optics

White Papers Sponsored By: