WIV, LLC. is the singular organization using a unique time-based waveform analysis method employing particle-like Waveform Information Vectors (WIV).  WIV based waveform analysis is a 40-year-old ‘new’ technology you have probably never heard of.  Conceived during the Cold War, it was first used in the development of a passive, non-scanning technique to uniquely identify and locate hostile radar sources in defined airspaces.  It required a clever new approach – Waveform Information Vectors (WIV).

First employed as a hardware solution, its underlying technology – the clever bit – was hidden in a schematic diagram – and classified.  Once declassified, it was a hardware solution at a time when computers and frequency-based Fourier Transforms dominated waveform analysis.  This unique approach – one never used before – was ignored and eventually forgotten by all – except its creator, John K. Bates.

Bates knew one fact overlooked by many others – it was an analog to the human cochlea.  Employed in a binaural configuration, its ability to identify and locate individual radar source in an airspace is the same as using our ears to locate an individual voice in a room.

Waveform Information Vectors (WIV)

The core of Bates’ approach to the task is the Waveform Information Vector – was a particle-like entity created at the instance of a ‘time event’ waveform crossing (real and complex).  A WIV particle contained the waveform information necessary to make it possible to recognize, separate, locate, and understand the sounds in the auditory scene.  WIV’s time-based particles preserve sufficient acoustic information to permit the reconstruction of a waveform using particles alone.  Furthermore, WIV’s event timestamps are real-time and are of sufficient precision to make them capable of determining the direction of a sound when used in a binaural configuration – just like our ears.

WIVs have the ability to:

  • WIVs preserve enough acoustic information as to permit the reconstruction of a waveform using particles alone.
  • WIV’s real-time timestamps are of sufficient precision to make them capable of determining the direction of a sound when being used in a binaural configuration – just like our ears.
  • Complex waveforms are deconstructed by sorting particles – not using bandpass filters.
  • Noise reduction is performed by removing particles, not filtering frequencies. This has the added benefit of being able to remove noise buried underneath a tone without affecting the tone itself.
  • Analyzing complex waveforms ranging from 100 Hz to 100 MHz.
  • The computer code of the WIV processor is small and efficient and has successfully run in real-time using iOS-based devices and microcontrollers such as a Raspberry Pi.

WIV Applications

WIV analysis processors have been used in:

  • Real-time analysis of singing voices and visually displaying pitch, vocal characteristics, and volume.
  • Real-time detection of faults in operating mechanical devices.
  • Monitoring the structural integrity of buildings
  • Identifying sound sources in 2D or 3D spaces.
  • Voice detection and speech recognition.
  • Multiple microcontroller applications.
  • And many others.

PITCH DETECTION DEMO (iOS)

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