Operation Transform Formulae for Generalized two Dimensional Fractional Sine Transform
Vidya Dev Sharma, S. A. Khapre
Abstract
Vidya Dev Sharma, S. A. Khapre
Abstract
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT: Transform methods are widely used in many areas of science and engineering. For example, transform methods are used in signal processing and circuit analysis, in application of probability theory. The Fourier transform (FT), used for most of the signal processing applications, determines the frequency components present in the signal but with zero time resolution. The fractional cosine and sine transform closely related to the fractional Fourier transform which is now actively used in optics and signal processing. Application of their fractional version in signal/image processing is very promising. This paper concerned with generalization of fractional Sine transform in distributional sense. Operational transform formulae as linearity, scaling, derivative for generalized two dimensional fractional Sine transform are proved.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT: Transform methods are widely used in many areas of science and engineering. For example, transform methods are used in signal processing and circuit analysis, in application of probability theory. The Fourier transform (FT), used for most of the signal processing applications, determines the frequency components present in the signal but with zero time resolution. The fractional cosine and sine transform closely related to the fractional Fourier transform which is now actively used in optics and signal processing. Application of their fractional version in signal/image processing is very promising. This paper concerned with generalization of fractional Sine transform in distributional sense. Operational transform formulae as linearity, scaling, derivative for generalized two dimensional fractional Sine transform are proved.
Key concepts: Fractional Fourier transform, Hartley transform, S transform, Mathematics, Discrete sine transform, Algorithm, Sine, Fourier transform