Optimum Filter design for digitally modulated signal

  • Unique Paper ID: 146647
  • PageNo: 388-391
  • Abstract:
  • Modern communication systems use modulations with high spectral efficiency to transmit information over limited bandwidth channels. Thus, quadrature amplitude modulation (QAM) is widely used but requires accurate synchronization between transmitter and receiver oscillators. Use of an equalizer with an adaptive algorithm is then necessary to correct inter- symbols interferences. When distortions, frequency offset and modulation level become important, a joint architecture is mandatory to allow carrier recovery and adaptive equalization algorithms to collaborate and work efficiently. Different type of filters suggested in this paper to low down the noise in communication channel.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{146647,
        author = {Kiran S Kale},
        title = {Optimum Filter design for digitally modulated signal},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {1},
        pages = {388-391},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146647},
        abstract = {Modern communication systems use modulations with high spectral efficiency to transmit information over limited bandwidth channels. Thus, quadrature amplitude modulation (QAM) is widely used but requires accurate synchronization between transmitter and receiver oscillators. Use of an equalizer with an adaptive algorithm is then necessary to correct inter- symbols interferences. When distortions, frequency offset and modulation level become important, a joint architecture is mandatory to allow carrier recovery and adaptive equalization algorithms to collaborate and work efficiently. Different type of filters suggested in this paper to low down the noise in communication channel.},
        keywords = {(QAM), AWGN Channel, RPF etc. },
        month = {},
        }

Cite This Article

Kale, K. S. (). Optimum Filter design for digitally modulated signal. International Journal of Innovative Research in Technology (IJIRT), 5(1), 388–391.

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