The operations of WIV, LLC are in the process of being transferred to a new entity, WIV Solutions.  WIV Solutions will concentrate on solving difficult waveform analysis problems.

Waveform Information Vectors (WIV) are a time-domain approach to waveform analysis that possesses the ability to solve problems unsolvable by traditional frequency-domain approaches such FFT.  WIV’s technique extracts real-time waveform information timestamped with the precise moment of a waveform event.  The information extracted at the exact moment of a waveform event is of sufficient quality as to permit the reconstruction of an entire waveform.

WIV Solutions is the singular organization using this unique time-based waveform analysis method. A method that evolved 40 years ago from a classified project tasked with creating a passive, non-scanning method to detect, uniquely identify and locate hostile radar sources in defined airspaces.  Conceived during the Cold War as a hardware solution it was required to be small and perform in real-time – attributes that later led to the software version possessing the unique ability operate in real-time even when installed on small, low-end microcontrollers such as the Arduino and Raspberry Pi.

WIVs capabilities developed over its 40-year history have been fully investigated and proven.

  • 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.
  • WIV processors can Analyzing complex waveforms ranging from 100 Hz to 100 MHz’s.
  • WIV’S computer code 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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