Amritasu Sinha

Work place: Department of Mathematics, ETB, McMaster University, Canada

E-mail: sinhaam@univmail.cis.mcmaster.ca

Website:

Research Interests: Requirements Analysis, Computational Mathematics, Computer systems and computational processes, Solid Modeling, Analysis of Algorithms, Mathematical Analysis

Biography

Dr. Amritasu Sinha is a Professor of Mathematics at McMaster University; he was awarded BSc from University of Agra in 1972, MSc from Indian Institute of Technology (Delhi) in 1974, and Ph.D from Indian Institute of Technology (Kanpur) in 1985. He has extensive academic experience in research in Dynamics, Mathematical Modeling, Complex Analysis and Computational Mathematics. He authored/co-authored numerous books including Applied Differential Equations, ISBN: 9788184870183, Principles of Engineering Analysis, ISBN: 978-1842657010 and Signals and System Analysis with Matlab and PSpice, ISBN: 978384336681.

Author Articles
Analogue Wavelet Transform Based the Solution of the Parabolic Equation

By Jean-Bosco Mugiraneza Amritasu Sinha

DOI: https://doi.org/10.5815/ijitcs.2012.12.01, Pub. Date: 8 Nov. 2012

In this paper we have proved that the solution of parabolic equation and its Fast Fourier Transform generate continuous wavelet transforms. Indeed, we have solved the parabolic equation using PDETool, exported its solution and coefficients to Matlab workspace. We have then imported the solution from workspace to signal processing tool. We have sampled the imported solution with the sampling frequency of 8192Hz and applied the band pass filter with that frequency. The convolution of the sampled PDE solution with the impulse response of the band pass filter has generated wavelet transform. This algorithm computes the wavelet transform either directly of via Faster Fourier Transform. The computation of the FFT of the PDE solution has produced complex wavelet.

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