Digital Signal Processing

In today’s data-driven world, real-time applications of digital signal processing demand uncompromising speed, accuracy, and flexibility. GaGe delivers with a powerful combination of high-speed digitizers and digital signal processing (DSP) tools—engineered to transform raw analog waveforms into meaningful, actionable data in an instant.

From Aerospace and Defense applications to Medical Imaging and Industrial Automation applications, our DSP processors and software provide unparalleled performance in the acquisition and analysis of signals. GaGe enables engineers and scientists to tackle the world’s hardest challenges with certainty and precision from high-resolution digitizers that capture the minutest signal details to FPGA and GPU accelerated processing for ultra-low latency.

eXpert FPGA DSP

Optional firmware features that allow for signal processing analysis or other specific functionality to be performed on the digitizer hardware itself within its onboard Field Programmable Gate Array (FPGA). Features include PCIe Data Streaming, Signal Averaging, FFT, OCT, or custom-designed for application requirements.

GPU CUDA Processing

Stream acquired data from GaGe high-speed digitizers to high-performance GPUs for real-time signal processing and data recording. C SDK ready-made compiled sample programs illustrate PCIe data streaming to GPU and effective exploitation of GPU parallelized vector processing to attain 10X ~ 100X faster analysis rates than host CPU.

Key Features & Benefits of Gage Digital Signal Processing

  • Real-Time FPGA DSP
    Process signals directly on the digitizer hardware—eliminating latency and bottlenecks. Perform real-time filtering, averaging, and analysis with ultra-fast onboard FPGAs.
  • eXpert PCIe Data Streaming
    Stream high-resolution data directly to your PC’s RAM or GPU at speeds up to 5 GB/s. Perfect for high-throughput, real-time applications.
  • Noise Reduction with Signal Averaging
    Reveal low-amplitude signals buried in noise. Average millions of waveforms in real-time for precision in challenging environments.
  • FFT Frequency Analysis
    Transform time-domain data into the frequency domain instantly using onboard FFT. Uncover hidden signal components without taxing your host CPU.
  • GPU CUDA Acceleration
    Achieve 10X–100X faster processing than traditional CPUs. Perform massive parallel computations in real-time for rapid insights across large datasets.
  • OCT Imaging Support
    FPGA support for variable-rate acquisition and k-clocking enables high-resolution, real-time OCT for advanced medical imaging and metrology.
  • Developer-Friendly SDKs
    Build custom applications using our robust SDKs in C/C++, C#, LabVIEW, and MATLAB. Fully programmable DSP workflows without starting from scratch.
  • Future-Proof Integration
    All DSP tools are fully compatible with GaGe’s CompuScope PCIe digitizers—providing scalable, high-precision digital signal processing solutions for evolving technical demands.

FAQs

DSP is the method of using mathematical techniques to analyze, transform, and manipulate signals. GaGe DSP solutions apply these techniques in real-time, enabling faster, more accurate data interpretation.

High precision digital signal processing refers to the use of advanced algorithms and hardware to analyze and manipulate signal data with exceptional accuracy. It often involves high-resolution digitizers (14-bit, 16-bit) and low-noise architectures that ensure even the smallest signal variations can be detected, extracted, and analyzed.

No. Digitizers convert analog signals to digital; DSPs analyze and manipulate the digital signals. GaGe combines both in an integrated system for seamless acquisition and processing.

A digital signal processor (DSP) takes real-world analog signals (like sound, temperature, or voltage), converts them into digital format, and then processes them using mathematical algorithms. This processing can include filtering, compression, FFT analysis, and more. GaGe DSPs accelerate this process using onboard FPGA or GPU-based computation.

FPGA-based DSP enables ultra-fast, low-latency processing directly on the digitizer hardware. This allows for real-time analysis without relying on host PC resources, which is critical for time-sensitive applications such as missile guidance systems, real-time medical diagnostics, or live spectral analysis.

GPU CUDA processing allows for massively parallel computation, which significantly speeds up processing tasks like FFT, filtering, and pattern recognition. It is especially useful for large datasets or complex real-time applications, achieving processing rates 10X to 100X faster than traditional CPU-based methods.

Yes, GaGe DSP solutions support standard development environments including C/C++, C#, LabVIEW, and MATLAB. Our SDKs and sample programs make it easy to integrate with custom or third-party platforms for signal analysis and visualization.

GaGe digitizers and DSP tools offer up to 16-bit resolution and extremely low jitter and noise, making them ideal for applications that demand high signal fidelity. With features like real-time signal averaging, PCIe streaming, and hardware-accelerated FFT, users can achieve laboratory-grade precision in the field.

Key factors include resolution (bit depth), sampling rate, processing latency, integration with other systems (like GPUs), support for real-time applications, and software compatibility. GaGe systems are designed to meet all of these criteria with flexibility for both standard and custom applications.

By processing signals directly on the digitizer hardware, FPGA DSP significantly reduces latency, offloads your CPU, and enhances throughput—ideal for time-critical applications.

CUDA-enabled GPUs allow massively parallel signal processing, drastically reducing analysis time and enabling real-time results even with large datasets.

Yes. Our SDKs allow full customization. Whether you’re processing medical scans or industrial waveforms, you can program the exact algorithms your application requires.

Many features run directly on the FPGA of your existing CompuScope digitizer or on a compatible NVIDIA GPU using our PCIe streaming framework.

  • Medical Imaging (OCT, ECG, EEG): Enables instant visualization and diagnostics from live signal input.
  • Radar & Sonar Systems: Detect and track targets with real-time spectral and time-domain processing.
  • Vibration Analysis in Aerospace: Monitor and balance engines using FFT and waveform analysis on-the-fly.
  • Industrial Automation: Process sensor data in real-time for predictive maintenance and quality control.
  • Wireless Communication: Filter and decode high-speed signals instantly to maintain network integrity.
  • Audio and Voice Recognition: Capture and enhance audio signals for clearer, faster voice-command systems.