Advanced Signal Processing for Radiation Spectroscopy

Grant number: LP140100473 | Funding period: 2015 - 2020

Completed

Abstract

Southern Innovation develops and markets world-leading pulse processing technologies for the rapid, accurate detection and measurement of radiation. The underlying real-time signal processing challenge relates to isolating often overlapping pulses, determining when each pulse arrived and the energy of each pulse. Recent advances in the computational power of digital signal processing boards makes it timely to develop innovative pulse processing algorithms based on optimal filtering of stochastic processes. It is expected that these algorithms will have widespread impact, both commercially for minerals exploration, materials analysis, medical imaging and security screening, and scientifically..

View full description

Related publications (7)

Scholarly works icon

A numerical filtering method for linear state-space models with Markov switching

Michael Pauley, Christopher Mclean, Jonathan H Manton

2020-07-01

A class of discrete‐time random processes arising in engineering and econometrics applications consists of a linear state‐space mo..

Scholarly works icon

Non-Parametric Decompounding of Pulse Pile-Up under Gaussian Noise with Finite Data Sets

C McLean, M Pauley, JH Manton

2020-03-18

A novel estimator is proposed for estimating the energy distribution of photons incident upon a detector in X-ray spectroscopic sy..

Scholarly works icon

Limitations of Decision Based Pile-Up Correction Algorithms

C McLean, M Pauley, JH Manton

2018-08-29

Nuclear spectroscopy attempts to infer elemental composition by estimating the energy distribution of X-ray/gamma-ray photons. Per..

Scholarly works icon

GLOBAL OPTIMISATION FOR TIME OF ARRIVAL-BASED LOCALISATION

Michael Pauley, Jonathan H Manton

2018-01-01

Scholarly works icon

LIMITATIONS OF DECISION BASED PILE-UP CORRECTION ALGORITHMS

Christopher McLean, Michael Pauley, Jonathan H Manton

2018-01-01

Scholarly works icon

NUMERICAL FILTERING OF LINEAR STATE-SPACE MODELS WITH MARKOV SWITCHING

Michael Pauley, Christopher McLean, Jonathan H Manton

2017-01-01

A class of discrete-time random processes that have seen a wide variety of applications consists of a linear state-space model who..

Scholarly works icon

PERFORMANCE METRICS FOR ENERGY SPECTRUM ESTIMATION

Christopher Mclean, Michael Pauley, Jonathan H Manton

2017-01-01

Nuclear spectroscopy frequently involves estimating the distribution of photon energies (energy spectrum). The evaluation of spect..