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Fourier Transforms to Kekre’s function

H. B. Kekre1 and V. R. Lakshmi Gorty2
  1. Senior Professor, Department of Computer Science, SVKM’s NMIMS MPSTME, Mumbai, India
  2. Associate Professor, Department of Computer Science, SVKM’s NMIMS MPSTME, Mumbai, India
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Abstract

In this paper, the Kekre’s function is represented in mathematical concept. The Fourier transforms is applied to Kekre’s function and the results are obtained. The graphical representation is shown by MATLAB representing transforms to Kekre’s function. A generalized representation of Kekre’s function is shown in this paper. To all the assigned order N, of the Kekre’s functions, the solutions are displayed for each example. Linearity property using Fourier transforms when applied to Kekre’s function, is proved in the form of a theorem. For any positive arbitrary value, the transform of Kekre function is obtained. At the end of examples, the generalized representation of the Fourier transforms of Kekre’s function is formulated.

Keywords

Kekre’s function, Fourier transforms, generalized representation, linearity property.

INTRODUCTION

Burrows and Colwell in [5] highlighted the difficulties which can arise when the Fourier transform of the unit step function is introduced to non-mathematics specialists. In [1] and [2] Kekre and Lakshmi Gorty, represented Mathematical concept of Laplace transforms and inverse Laplace transforms to Kekre’s function. The transforms of the functions in parameter ' s ' has been calculated and are obtained in the form of Kekre’s function. A generalized representation of Kekre’s function is shown in this paper. In [3], author described about the study discrete Fourier transformations of functions of the greatest common divisor and Euler’s totient function. Authors in [6] examine both the mathematics and music background with Fourier series representations of sound waves and found they are related to harmonics and tonal color of instruments. Foliage plant retrieval using polar Fourier Transform, color moments and vein features to retrieve leaf images based on a leaf image has been proposed by Abdul Kadir and others in their paper [7]. The method proved useful to help people in recognizing foliage plants. To understand the different applications the authors in [8] examined the potential of Fourier transform infrared (FT-IR) absorbance spectroscopy to detect biochemical changes in bacterial cells that occur during bacterial growth phases in batch culture. In [9] paper proposes a generalized algorithm to generate discrete wavelet transform from any orthogonal transform.
The authors in [10], explained finding a formula that relates the Fourier transform of a radial function on R n with the Fourier transform of the same function defined on R n+2. This formula enabled one to explicitly calculate the Fourier transform of any radial function f(r) in any dimension, provided one knows the Fourier transform of the onedimensional function t→f(|t|) and the two-dimensional function (x 1,x 2)→f(|(x 1,x 2)|). Kekre function is defined as

PRELIMINARY STUDY

Here the order of the Kekre’s function is ‘5’. Then the Kekre’s function can be represented as:

CALCULATIONS

For a function t Ka (N;t) the Fourier transforms is applied and calculated for N = 5;a = 1,2,3,4,5. On applying Fourier transforms over Kekre’s function from (1), the following results are obtained.

RESULT AND DISCUSSION

All the examples considering N = 4 or N = 5. These results can be calculated considering for any value of N . The elementary functions using Kekre’s function has been evaluated applying Fourier transforms over it. At the end of examples the generalized representation of the Fourier transforms of Kekre’s function is formulated. These developed Fourier transforms to Kekre’s functions can be applied to applications of pulse radar and Bio-medical applications.

CONCLUSION

Kekre’s function has been used in application to image processing and other computer engineering applications. This paper shows mathematical interpretation of Kekre’s function, such that even Mathematicians can use it efficiently. Results are displayed with their calculations and process of the existence of Kekre’s function applied using Fourier Transforms.

FUTURE SCOPE

This evaluations and observation done by the author in this work can help researchers for the elaborate study using Fourier Transforms to Kekre’s function. Evaluation and analysis can be done for higher orders. Table for all the Fourier transforms to Kekre’s function can be calculated.

References

  1. H. B. Kekre and V. R. Lakshmi Gorty, “Laplace Transforms to Kekre’s functions”, International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), ISSN: 2319-8753; Volume 2, Issue 10, October 2013.
  2. H. B. Kekre and V. R. Lakshmi Gorty, “Inverse Laplace Transforms for Kekre’s functions and its related Mathematics”, The International Journal’s Research Journal of Science & IT Management (IJIRSET), ISSN: 2251-1563; Volume 3, No.1, November 2013, pp.37-44.
  3. Wolfgang Schramm, “The Fourier transform of functions of the greatest common divisor”, Integers: Electronic journal of combinatorial number theory 8(2008), #a50, pp.1-7.
  4. R. N. Bracewell, The Fourier Transform and its Applications, third edition, McGraw-Hill Book Co., New York, 2001.
  5. B. L. Burrows and D. J. Colwell, International Journal of Mathematical Education in Science and Technology, 1990, VOL. 21, NO. 4, 629-635.
  6. Susan Kelly and Janelle K. Hammond, “Mathematics of Music”, UW-L, Journal of Undergraduate Research XIV (2011), pp 1-11.
  7. Abdul Kadir, Lukito Edi Nugroho, Adhi Susanto and Paulus Insap Santosa, “Foliage plant retrieval using polar Fourier Transform, color moments and vein features”, Signal & Image Processing : An International Journal (SIPIJ) Vol.2, No.3, September 2011, DOI : 10.5121/sipij.2011.2301, pp.1- 13.
  8. Hamzah m. Al-Qadiri,Nivin i. Al-Alami,Mengshi lin, Murad al-Holy, Anna g. Cavinato,and Barbara a. Rasco, “ Studying of the bacterial growth phases using Fourier transform infrared spectroscopy and multivariate analysis”, Journal of Rapid Methods & Automation in Microbiology, Vol.16, 2008, pp. 73–89.
  9. H. B. Kekre, Archana Athawale & Dipali Sadavart, “Algorithm to Generate Wavelet Transform from an Orthogonal Transform”, International Journal Of Image Processing (IJIP), Volume (4): Issue (4) 444-455, http://www.cscjournals.org/csc/manuscript/Journals/IJIP/volume4/Issue4/IJIP- 219.pdf.
  10. Loukas Grafakos, Gerald Teschl , “On Fourier Transforms of Radial Functions and Distributions”, Journal of Fourier Analysis and Applications, February 2013, Volume 19, Issue 1, pp 167-179.