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In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
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High-rate dead-time corrections in a general purpose digital pulse processing system.

Leonardo Abbene1, Gaetano Gerardi1

  • 1Dipartimento di Fisica e Chimica, University of Palermo, Viale delle Scienze, Edificio 18, Palermo 90128, Italy.

Journal of Synchrotron Radiation
|August 21, 2015
PubMed
Summary
This summary is machine-generated.

This study presents a digital pulse processing system for accurate radiation measurements. It effectively corrects for dead-time losses at high counting rates, improving accuracy for transient radiation events.

Keywords:
cascade of dead-timesdead-timedigital pulse processingtime interval distribution

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Area of Science:

  • Nuclear Instrumentation
  • Radiation Detection and Measurement
  • Digital Signal Processing

Background:

  • Dead-time losses are a significant challenge in radiation counting and spectroscopy, affecting measurement accuracy.
  • Existing systems often struggle with high input counting rates (ICRs) and variable radiation conditions.
  • Accurate dead-time correction is crucial for reliable radiation data acquisition.

Purpose of the Study:

  • To present a real-time digital pulse processing (DPP) system for high-rate, high-resolution radiation measurements.
  • To demonstrate the DPP system's capability for accurate dead-time correction, even with transient radiation.
  • To characterize the system's counting capabilities and evaluate different dead-time correction methods.

Main Methods:

  • Utilized a DPP system with fast and slow waveform analysis for multi-parameter data acquisition.
  • Performed theoretical and experimental characterization, including dead-time modeling and throughput curve analysis.
  • Measured time-interval distributions (TIDs) and counting uncertainty using a planar CdTe detector.

Main Results:

  • The DPP system achieved accurate ICR estimations (nonlinearity < 0.5%) up to 2.2 Mcps using time widths and TIDs.
  • Derived a throughput formula for systems with multiple dead-time types.
  • Demonstrated the system's ability to perform sophisticated dead-time corrections with simple parameter settings.

Conclusions:

  • The presented DPP system offers a simple yet effective solution for dead-time correction in high-rate radiation measurements.
  • The system enables accurate counting loss corrections for variable or transient radiation sources.
  • It provides a versatile platform for implementing various dead-time correction procedures, outperforming traditional complex setups.