Digital Signal Processing: From Antiquity to Emerging Paradigms with Emphasis on Nuclear Spectrometry

The lecture would describe the origin of digital signal processing (DSP) to
antiquity, and its development. DSP has progressed by merging tools from many
disciplines, and has found applications in vast areas including nuclear
spectrometry. DSP is applied with advantage both for acquisition and
processing of nuclear spectra. A recent classification of signals as Type I
and Type II has enhanced the role of DSP in many disciplines including nuclear
spectral processing. The lecture would cover some of the DSP techniques
developed by the speaker for nuclear spectrometry using Fourier, Walsh, number
theoretic transforms. DSP techniques have helped in better understanding of
nuclear spectra, in refinement, extension, and consolidation of existing
algorithms, and in developing new algorithms with rigor. A few applications of
DSP in other areas would be briefly described.

About V.k.Madan:
V.K. Madan obtained his B.Tech. from IIT Delhi and Ph.D. from IIT Bombay. He
was a post-doctoral fellow at the University of Saskatchewan. Before joining
Kalasalingam University, he was with BITS Pilani. He had superannuated from
BARC in 2008. While at BARC, he had developed many electronics and computer
based instruments and systems for various applications. He had carried out
research on application of digital signal processing (DSP) for gamma ray
spectral analysis, frequency spectral analysis, non destructive evaluation
(NDE), neural networks and population sciences. He was a reviewer for the IEEE
Transactions on Instrumentation and IETE Journal of Research.