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 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)