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Real-time digital signal recovery for a multi-pole low-pass transfer function system.
1Department of Physics, Korea Advanced Institute of Science and Technology, Daejeon 34141, South Korea.
The Review of Scientific Instruments
|September 3, 2017
Summary
A novel digital-signal-processing method recovers original waveforms from distorted signals in real-time. This technique uses a moving average algorithm to improve data acquisition and control systems by reducing distortion and delay.
Area of Science:
- Electrical Engineering
- Signal Processing
- Control Systems
Background:
- Physical and electrical systems with multi-pole linear low-pass transfer characteristics often suffer from waveform distortion and signal delay.
- These distortions and delays can degrade the performance of data acquisition and digital feedback control systems.
Purpose of the Study:
- To propose a simple digital-signal-processing (DSP)-based method for real-time recovery of original source waveforms from distorted output waveforms.
- To address waveform distortion and signal delay issues in systems with multi-pole linear low-pass transfer characteristics.
Main Methods:
- Mathematical analysis of the convolution kernel representation of single-pole low-pass transfer functions.
- Application of a specific moving average algorithm to the input stream of distorted waveforms for real-time signal recovery.
- Generalization of the method for multi-pole low-pass systems.
Main Results:
- Accurate real-time recovery of the original source waveform from distorted output.
- Significant reduction in the overall delay time constant.
- The method's noise characteristics are the inverse of the low-pass filter characteristics.
Conclusions:
- The proposed DSP-based method effectively recovers original waveforms and reduces delay in low-pass systems.
- This technique can enhance the performance of sensors, amplifiers, data acquisition systems, and digital feedback control systems operating near their frequency limits.
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