About

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

Optimum Fastener Selection for Internal Pumping in Vacuum Systems
Sponsored by UC Components
Eliminate Risk of Contention and Data Corruption in RS-485 Communications
Sponsored by Sealevel
Selecting Miniature Motors for your Medical Devices
Sponsored by Portescap
PICO xMOD Data Sheet
Sponsored by Nordson EFD
A Brief History of Modern Digital Shaker Controllers
Sponsored by Crystal Instruments
Data Acquisition and I/O Control Applications Handbook
Sponsored by United Electronic Industries

White Papers Sponsored By: