Extract Clean Signals from Noisy Environments with High-Speed FPGA Averaging

Achieve noise-free waveform capture with high-speed signal averaging firmware for GaGe CompuScope digitizer; engineered for clear, reliable signals in interference-heavy environments. By performing real-time averaging directly on the FPGA, it eliminates random noise while preserving critical waveform detail. This enables detection of small, repetitive signals often lost in clutter. Averaging over 100,000 waveforms per second, this onboard solution delivers signal clarity at scale and speeds up your acquisition process without taxing your host CPU.

Perfect for engineers and researchers in defence, aerospace, medical imaging, and industrial diagnostics, this firmware empowers you to overcome high-noise environments and detect micro-signals with exceptional accuracy. Reduce data loads, streamline post-processing, and increase acquisition efficiency with smart firmware that puts signal integrity first.

Starting at $1,045

FAQs

Signal averaging is a powerful method of improving the fidelity of noisy repetitive signals. The process consists of making multiple acquisitions of a repetitive waveform and averaging all acquisitions together. Any random noise is subsequently averaged to near zero, while the amplitude of the underlying repetitive signal remains unchanged. Using signal averaging, small signals can be extracted from a background of high-amplitude noise, which may even be larger than the actual signal itself.

Unlike software-based averaging, FPGA averaging operates in real time, avoids CPU bottlenecks, and delivers significantly faster performance.

You can stack up to 1,000,000 waveforms with depths of up to 131,072 samples, depending on your digitizer model and channel configuration.

Yes, but note that maximum waveform depth is shared among all active channels—ideal for synchronized, multi-channel measurements.

Compatible models include Cobra, EON, Octave, Oscar, Razor, and their Max/Express variants. Check specs for full compatibility.