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 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)