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

  • Ultra-Fast Signal Averaging:
    Average over 100,000 waveforms per second directly on the FPGA—faster than any software-based method.
  • Clean Signal Recovery in Noisy Environments:
    Extract faint, repetitive signals from high-amplitude noise using hardware-level summing to improve fidelity without distortion.
  • Massive Data Reduction:
    Compress data by over 1,000x before offloading to the host PC, enabling faster transfer speeds and reduced storage requirements.
  • Maximum Flexibility in Averaging Depth:
    Configure waveform lengths up to 131,072 samples and stack up to 1,000,000 averages in onboard memory for large-scale tests.
  • Optimized for High-Resolution Applications:
    Maintain waveform resolution with summing instead of division during averaging, preserving precision in every capture.
  • Multi-Channel Mode Ready:
    Share averaging depth across multiple active channels—ideal for simultaneous multi-point acquisition.
  • Seamless Integration with CompuScope SDKs:
    Use ready-to-run programs for C/C#, MATLAB, and LabVIEW to integrate signal averaging into your custom test and measurement systems.
  • Zero Host CPU Load:
    Perform all processing within the FPGA, allowing your host computer to handle visualization, analysis, or parallel tasks without delay.
eXpert Signal Averaging Products and Part Numbers
eXpert Signal Averaging Firmware Option NOTE: Requires one of the available GaGe SDKs for C/C#, MATLAB, or LabVIEW, included with Digitizer, and is compatible for use with the following GaGe Digitizer Model Series sold separately:

250-181-001
Software Development Kits (SDKs)
GaGe SDK Pack (Includes C/C#, MATLAB, and LabVIEW)Included

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.