Fourier transforms with procedures such as Discrete Fourier Transforms and Fast Fourier Transforms

References

[1] S. S. Sastry, Introductory Methods of Numerical Analysis, 5th ed. New Delhi, India: PHI Learning Pvt. Ltd., 2012.

[2] R. L. Burden and J. D. Faires, Numerical Analysis, 9th ed. Boston, MA, USA: Brooks/Cole, Cengage Learning, 2011.

[3] S. C. Chapra and R. P. Canale, Numerical Methods for Engineers, 7th ed. New York, NY, USA: McGraw-Hill Education, 2015.

[4] C. F. Gerald and P. O. Wheatley, Applied Numerical Analysis, 5th ed. Reading, MA, USA: Addison-Wesley, 1994.

[5] M. K. Jain, S. R. K. Iyengar and R. K. Jain, Numerical Methods for Scientific and Engineering Computation, 6th ed. New Delhi, India: New Age International, 2012.

[6] Jenkins, W. Kenneth. "Fourier series, Fourier transforms and the DFT." In Mathematics for Circuits and Filters, pp. 83-111. CRC Press, 2022.

[7] Yang, Nien-Che, and Jen-Ming Yang. "Fault classification in distribution systems using deep learning with data preprocessing methods based on fast dynamic time warping and short-time fourier transform." IEEE Access 11 (2023): 63612-63622.

[8] Ding, Can, Zhenyi Wang, Qingchang Ding, and Zhao Yuan. "Convolutional neural network based on fast Fourier transform and gramian angle field for fault identification of HVDC transmission line." Sustainable Energy, Grids and Networks 32 (2022): 100888.

[9] Yu, Hu, Jie Huang, Lingzhi Li, and Feng Zhao. "Deep fractional Fourier transform." Advances in Neural Information Processing Systems 36 (2023): 72761-72773.

[10] Koç, Emirhan, and Aykut Koç. "Fractional Fourier transform in time series prediction." IEEE Signal Processing Letters 29 (2022): 2542-2546.