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

Next-Generation, Miniature High Voltage Power Modules
Sponsored by EMCO High Voltage
Liquid Silicone Rubber Takes the Heat
Sponsored by Proto Labs
Re-Inventing the Rotary Encoder: The No-Compromise IXARC from POSITAL
Sponsored by Fraba Posital
3D Printing with FDM: How it Works
Sponsored by Stratasys
R&S® SMB100A, NRP, FSW-K6, ZVL Radar Educational Videos
Sponsored by Rohde and Schwarz A and D
FPGA Computing for Speed and Flexibility
Sponsored by Acromag

White Papers Sponsored By: