Tikhonov Regularization in Pulse Signal Processing for Oscilloscope Measurements
- Resource Type
- Conference
- Authors
- Kleopin, Andrey V.; Zenchenko, Mikhail A.
- Source
- 2022 24th International Conference on Digital Signal Processing and its Applications (DSPA) Digital Signal Processing and its Applications (DSPA), 2022 24th International Conference on. :1-4 Mar, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Measurement errors
Systematics
Pulse measurements
Measurement uncertainty
Oscilloscopes
Digital signal processing
Mathematical models
deconvolution
regularization
regularization parameter selection
waveform metrology
oscilloscope
- Language
A model for oscilloscope measurements has been developed and the broadband pulses waveform recovering and regularization methods have been proposed. In practice due to the influence of noise and measurement uncertainty, input signal recovery requires equations that are ill-posed to be solved, thus regularization was used. We have chosen a stabilizing function and have found a number of regularization parameters to describe a recovery filter. A mathematical simulation and an experimental verification have been conducted to confirm that recovery of a pulse waveform with a bandwidth increased by 1.5 times is performed with an increase in the noise root mean square (RMS) value of a recovered signal by 1.5–3 times.