DSP
Signal Evidence Lab
Turning noisy real-world signals into timelines, reports, and operational evidence.
Digital signal processing is useful when it changes an operational decision.
For Lescientor, the useful DSP thesis is:
Turn noisy real-world signals into trustworthy operational evidence.
Those signals can include:
- machine sound
- vibration
- electrical current
- link quality
- audio files
- test-jig measurements
- field sensor readings
The Business Layer
The hard part is not only FFT, filters, or anomaly detection.
The useful workflow is:
- capture the signal
- preserve the source file
- extract features
- compare against history
- mark events
- attach technician or operator notes
- generate an evidence report
- connect the report to a maintenance, QA, or incident decision
This connects signal processing with databases, traceability, and operations.
Product Loop
The product loop can start with uploaded files:
- Upload a signal file.
- Show waveform and spectrogram.
- Mark events.
- Store source metadata.
- Generate a report.
That loop can branch into machine maintenance, production tests, audio QA, field sensors, or connectivity diagnostics.