Improving Fidelity of Noise Repetitive Signals with Signal Averaging Technology
- Thursday, 16 January 2014
- ADLINK 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.