Abstract
The conjugate gradient method (CGM) has found a wide variety of applications in electromagnetics and in signal processing as an efficient method for solving matrix equations. In addition, CGM when used in conjunction with FFT (CGFFT) is extremely efficient for solving Hankel and Teoplitz or block Toeplitz matrix systems which frequently arise in both electromagnetics and signal processing applications. The FFT may be utilized because of the convolutional nature of the matrix. CGM has also been used in adaptive spectral estimation. The objective of this paper is the describe CGM and CGFFT, outline some applications and compare their performance with other existing techniques.
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© 1990 Kluwer Academic Publishers
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Ponnapalli, S., Sarkar, T.K., Arvas, E. (1990). Application of Conjugate Gradient Method and FFT to Electromagnetics and Signal Processing Problems. In: Byrnes, J.S., Byrnes, J.L. (eds) Recent Advances in Fourier Analysis and Its Applications. NATO ASI Series, vol 315. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0665-5_13
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DOI: https://doi.org/10.1007/978-94-009-0665-5_13
Publisher Name: Springer, Dordrecht
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