Privacy

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

Epoxies and Glass Transition Temperature
Sponsored by Master Bond
An Introduction to Stress Analysis and Transducer Design Using Strain Gauges
Sponsored by HBM
White Paper: MIL-STD-1553 IP Cores - An Emerging Technology
Sponsored by Sealevel
Unique Method for Orifice Production
Sponsored by Bird Precision
Introduction to Hypervisor Technology
Sponsored by Curtiss-Wright Controls Embedded Computing
High-Speed, Real-Time Recording Systems Handbook
Sponsored by Pentek

White Papers Sponsored By: