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PathWave Waveform Analytics
Debug voltage and current spikes, IO glitches, and time shifts in pre-silicon using powerful machine learning
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PathWave Waveform Analytics (PWA) enables long-duration waveform compression, high-resolution playback, and analysis exceeding several terabytes of data.
Highlights
Designing and manufacturing low-power products that are robust, reliable, and secure requires the collection and analysis of extensive and long-duration waveform data from oscilloscopes and analyzers. Automate this extremely manual task and raise your engineering productivity without sacrificing accuracy.
Keysight's PathWave Waveform Analytics is an edge-to-cloud computing application that improves anomaly detection and reduces data storage costs in pre-silicon validation using machine learning algorithms.
The automated technology combines pre- and post-processing machine learning models that streamline anomaly discovery. By debugging in pre-silicon, you save time in the costly post-silicon validation phase, reducing your overall project costs. The software helps you detect waveform anomalies through a single dashboard that displays an unlimited number of channels.
- Compress long-duration waveforms by 60%
- Reduce waveform transfer time by 10x
- Easily transfer data using edge-to-cloud computing applications
- View an unlimited number of channels on a single dashboard
- Pin waveforms of interest for comparison analysis
- Analyze any portion of the big vector data
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