Fractional Fourier Integral Theorem and Fractional Fourier Sine and Cosine Transform
نویسندگان
چکیده
FRACTIONAL FOURIER INTEGRAL THEOREM AND FRACTIONAL FOURIER SINE AND COSINE TRANSFORM Saleem Iqbal, S.M. Raza, * LalaRukh Kamal and Farhana Sarwar Department of Mathematics/Physics, University of Balochistan, Quetta, Pakistan e-mail: fs1005,saleemiqbal81,[email protected]. ABSTRACT: The fractional Fourier transform (FRFT) is a generalization of the ordinary Fourier transform (FT). Recently several properties of FRFT have been developed by generalizing the properties of the ordinary FT. In this paper we show that a fractional Fourier integral theorem (FRFIT) can be derived by using the inversion formula of the FRFT in a similar way as for the ordinary FT. We also derive the Fractional Fourier cosine and sine transforms by using the FRFIT in a similar way as one can find the Fourier cosine and sine transform from Fourier integral theorem of the ordinary FT. We also show that fractional Fourier cosine and sine transforms are the generalized form of Fourier cosine transform (FCT) and Fourier sine transform (FST) and possesses all the properties of the FRFT.
منابع مشابه
Fractional Cosine and Sine Transforms
The fractional cosine and sine transforms – closely related to the fractional Fourier transform, which is now actively used in optics and signal processing – are introduced and their main properties and possible applications are discussed.
متن کاملFractional cosine and sine transforms in relation to the fractional Fourier and Hartley transforms
The fractional cosine and sine transforms – closely related to the fractional Fourier transform, which is now actively used in optics and signal processing, and to the fractional Hartley transform – are introduced and their main properties and possible applications as elementary fractional transforms of causal signals are discussed.
متن کاملApplications on Generalized Two-Dimensional Fractional Sine Transform In the Range
Various transforms are employed for signal processing to obtain useful information, which is not explicitly available when the signal is in the time domain. Most of the real time signals such as speech, biomedical signals, etc., are non-stationary signals. The Fourier transform (FT), used for most of the signal processing applications, determines the frequency components present in the signal b...
متن کاملThe discrete fractional cosine and sine transforms
This paper is concerned with the definitions of the discrete fractional cosine transform (DFRCT) and the discrete fractional sine transform (DFRST). The definitions of DFRCT and DFRST are based on the eigen decomposition of DCT and DST kernels. This is the same idea as that of the discrete fractional Fourier transform (DFRFT); the eigenvalue and eigenvector relationships between the DFRCT, DFRS...
متن کاملFractional cosine, sine, and Hartley transforms
In previous papers, the Fourier transform (FT) has been generalized into the fractional Fourier transform (FRFT), the linear canonical transform (LCT), and the simplified fractional Fourier transform (SFRFT). Because the cosine, sine, and Hartley transforms are very similar to the FT, it is reasonable to think they can also be generalized by the similar way. In this paper, we will introduce sev...
متن کامل