A Kind of Novel Algorithm for Digital Signal Processing Based on Safeguards Detectors and its Applications
Digital signal processing (DSP) has been found very useful in many applications in recent years. DSP provides the possibility of digital processing of information according to the algorithms loaded from the central processor. This paper provides a new method introduction on parallel algorithms relevant to DSP with safeguards detectors. Specifications of several operation modes and their examples are presented. The use of DSP has become the standard for high-performance laboratory instruments for measurements in the field of electronics. First of all, we introduce some basic concepts such as speedup and efficiency of parallel algorithms, to illustrate the basic concepts and key issues; secondly, we consider the problem of parallel solution of a nonsingular linear system. Gaussian elimination with pivoting is difficult to implement on many parallel architectures, but omission of pivoting leads to numerical instability. A solution is to implement a parallel version of the orthogonal decomposition instead of the triangular (LU) decomposition obtained by Gaussian elimination. We also consider using linear least squares methods to solve many DSP problems which are easy to solve if we can find the singular value decomposition (SVD) of a rectangular matrix, or the eigenvalues and eigenvectors of a symmetric matrix. We describe a good parallel algorithm for these problems. This novel algorithm offers greater stability, improved resolution and greater throughput at high count rates compared to analog or traditional designs. All of these improve the quality of the spectrum and the analysis results. Safeguards applications, especially the isotopicratio calculation, depend on the high resolution and stability of the MCA and detector for accurate results. The system has been tested using both liquid-nitrogen and electrically cooled detectors. Performance data for the peak position and resolution have been measured using safeguards-quality germanium detectors.
parallel algorithm Gaussian elimination method linear least squares digital signal processing
Gang Liu Jing-hua Han Mei-jiao Liu
School of Science, Shenyang Institute of Aeronautical Engineering, Shenyang, 110136, China
国际会议
The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)
无锡
英文
419-422
2010-06-04（万方平台首次上网日期，不代表论文的发表时间）