Feedback

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

Reverse Engineering
Sponsored by Servometer
Introduction to Hypervisor Technology
Sponsored by Curtiss-Wright Controls Embedded Computing
6 Ways Software Rendering Boosts Embedded System Graphics
Sponsored by ENSCO Avionics
Spherical Plain Bearing
Sponsored by AST Bearings
Refractory Metal Fasteners for Extreme Conditions: The Basics
Sponsored by Goodfellow
SunWize Power Systems – Guidelines for Choosing the Right Product
Sponsored by SunWize

White Papers Sponsored By: