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A process which utilises mathematical derivations to filter and translate raw data from many types of signal (including vibration, sound, radio, radar ) into digitalised codes which are converted into powerful algorithmic solutions.
Time Encoded Signal Processing And Recognition. Enhances the capabilities of conventional dsp, it is an efficient mathematical language for deciphering complex waveforms in digital terms, invented by Professor R. King at Cranfield and Bath Universities.
A visual representation of a Tespar matrix is shown on the green image above.
Using individual or multiple sensors we collect raw signals from a data source such as an industrial process / machinery, then using Tespar, we economically analyse and convert the signals into usable waveforms.
Vibration (accelerometer), ultrasonic, infra-red, pressure, temperature, nucleonic, capacitance, microwave, geophone, hydrophone etc. Plus combinations of these sensors applying data fusion techniques.
Yes, if you have appropriately qualified personnel, we can license it to you, teach you how to apply it and provide ongoing support.