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2009. Proakis, J. G. & Manolakis, D. K. (2006). Digital signal processing, Prentice Hall; 4th edition, ISBN-10: 0131873741. Sklar, B. (2001). Digital communications: fundamentals and applications, 2nd edition, Prentice Hall, 2001. Smith, S. W. (1999). Digital signal processing, California Technical Publishing, ISBN 09660176-6-8, 1999. ; Cioffi, J. & Silverman, P. (2003). DSL Advances (Chapter 11), PrenticeHall: Upper Saddle River, NJ, 2003. 2 Digital Backward Propagation: A Technique to Compensate Fiber Dispersion and Non-Linear Impairments Rameez Asif, Chien-Yu Lin and Bernhard Schmauss Chair of Microwave Engineering and High Frequency Technology (LHFT), Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander University of Erlangen-Nuremberg (FAU), Cauerstr.

22 Applications of Digital Signal Processing 3. Conclusions The use of complex number mathematics greatly enhances the power of DSP, offering techniques which cannot be implemented with real number mathematics alone. In comparison with real DSP, complex DSP is more abstract and theoretical, but also more powerful and comprehensive. , are the essence of theoretical DSP. Complex Fourier transforms appear to be difficult when practical problems are to be solved but they overcome the limitations of real Fourier transforms in a mathematically elegant way.

5. ; Baggi, M. & Tagilione, L. (2002). A novel approach to in-band interference mitigation in ultra wide band radio systems. IEEE Conf. on Ultra Wide Band Systems and Technologies, pp. 297-301, 7 Aug. 2002. Crystal, T. & Ehrman, L. (1968). The design and applications of digital filters with complex coefficients, IEEE Trans. on Audio and Electroacoustics, vol. 16, Issue: 3, pp. 315320, Sept. 1968. Douglas, S. (1999). Adaptive filtering, in Digital signal processing handbook, D. Williams & V. , Boca Raton: CRC Press LLC, pp.

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