Advancements in Cyclostationary Technique for Cognitive Radio: An In-Depth Examination and Evaluation

Authors

  • Sarita Charkha Assistant Professor, Department of Computer Science and Engineering, Nutan College of Engineering and Research Talegaon, Pune, Maharashtra, India
  • Mayur Jakhete Assistant Professor, Department of Electronic and Telecommunication Engineering, Pimpari-Chinchawad University, Pune, Maharashtra, India.
  • Prachi Waghmare Assistant Professor, Department of Computer Science and Engineering, Nutan College of Engineering and Research Talegaon, Pune, Maharashtra, India
  • Dipamala Chaudhari Assistant Professor, Department of Computer Science and Engineering, Nutan College of Engineering and Research Talegaon, Pune, Maharashtra, India
  • Ketan Jatale Assistant Professor, Department of Bachelor of Computer Application, Saraswati College, Shegaon, Buldhana, Maharashtra, India
  • Tejaswini Zope Assistant Professor, Department of Computer Science and Engineering, Nutan College of Engineering and Research Talegaon, Pune, Maharashtra, India
  • Bhushan Rathi Assistant Professor, Department of Master of Computer Application, Saraswati College, Shegaon, Buldhana, Maharashtra, India
  • Vidur Sharma Assistant Professor, Department of Master of Computer Application, Saraswati College, Shegaon, Buldhana, Maharashtra, India

Keywords:

Cognitive Radio, Cyclostationary Technique, MATLAB, Primary User, Secondary User

Abstract

In contemporary society, information communication has reached unprecedented levels, connecting individuals at all strata, from grassroots to the highest echelons. The integration of information technology and communication has become an intrinsic part of everyday life, catering to knowledge-based, entertainment-based, economical-based, and social-based data. As the volume of information data continues to grow, Information Communication Technology (ICT) plays a pivotal role in the lives of common individuals. However, the surge in users is met with the challenge of limited resources, specifically channel bandwidth for communication. This paper addresses the issue of communication channel utilization in the face of a rising number of users. To optimize and accommodate an increasing user base within the constraints of available channels, the proposed system introduces the Enhanced Cyclostationary technique for Cognitive Radio. This innovative approach aims to maximize the efficiency of communication channels, ensuring reliable connectivity for the expanding user population.

Downloads

Download data is not yet available.

References

R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3rd ed. Upper Saddle River, NJ: Prentice-Hall, 2007.

Shengfeng He, Qingxiong Yang, Member, IEEE, Rynson W.H. Lau, Senior Member, IEEE and Ming-Hsuan Yang, Senior Member, IEEE “Fast Weighted Histograms for Bilate Filtering and Nearest Neighbor Searching” 2015 IEEE.

Aruna.L,S.S.Thamilselvi “Contrast Enhancement for Emissive Display Using Histogram Equalization and Bilateral Tone Adjustment”, International Journal of P2P Network Trends and Technology (IJPTT) - Volume3 Issue4- May 2013

Anan Du, Bin Li, Yecheng Zhang, Xiangchun Yu, Zhezhou Yu“A Novel Graph Construction Method Based on Locality Sensitive Histogram for Locality Preserving Projections”,Journal of Information & Computational Science 11:15 (2014) 5297{5304 October 10, 2014

J.Stark, “Adaptive image contrast enhancement using generalizations of histogram equalization,” IEEE Transaction on Image Processing,vol.9, no. 5, pp. 889–896, May 2000.

Z. Yu and C. Bajaj, “A fast and adaptive method for image contrast enhancement,” in IEEE ICIP, Oct. 2004, vol. 2, pp. 1001–1004.

A. Adams, J. Baek, and A. Davis. Fast high-dimensional filtering using the permutohedral lattice. Computer Graphics Forum, 29(2):753–762, 2010.

A. Adams, N. Gelfand, J. Dolson, and M. Levoy. Gaussian KD-trees for fast high-dimensional filtering. ACM TOG, 28(3), July 2009.

S. Bae, S. Paris, and F. Durand. Two-scale tone management for photographic look. ACM TOG, 25:637–645, Jan. 2006.

S. Baker, D. Scharstein, J. Lewis, S. Roth, M. Black, and R. Szeliski.A database and evaluation methodology for optical flow. IJCV, 92(1):1–31, 2011.

L. Bao, Q. Yang, and H. Jin. Fast edge-preserving patchmatch for large displacement optical flow. IEEE TIP, 23(12):4996–5006, Dec 2014.

C. Barnes, E. Shechtman, A. Finkelstein, and D. Goldman. Patch- Match: A randomized correspondence algorithm for structural image editing. ACM TOG, 28(3), Aug. 2009.

E. Bennett and L. McMillan. Video enhancement using per-pixel virtual exposures. ACM TOG, 24(3):845–852, 2005.

J. Chen, S. Paris, and F. Durand. Real-time edge-aware image processing with the bilateral grid. ACM TOG, 26(3), 2007.

Z. Chen, H. Jin, Z. Lin, S. Cohen, and Y. Wu. Large displacement optical flow from nearest neighbor fields. In Proc. IEEE CVPR, pages 2443–2450, June 2013.

D. Comaniciu, V. Ramesh, and P. Meer. Kernel-based object tracking. IEEE TPAMI, 25(5):564 – 577, 2003.

F. Durand and J. Dorsey. Fast bilateral filtering for the display of high-dynamic-range images. ACM TOG, 21(3), 2002.

E. Eisemann and F. Durand. Flash photography enhancement via intrinsic relighting. ACM TOG, 23(3):673–678, 2004.

R. Fattal. Edge-avoiding wavelets and their applications. ACM TOG,28(3), 2009.

Downloads

Published

23.02.2024

How to Cite

Charkha, S. ., Jakhete, M. ., Waghmare, P. ., Chaudhari, D. ., Jatale, K. ., Zope, T. ., Rathi, B. ., & Sharma, V. . (2024). Advancements in Cyclostationary Technique for Cognitive Radio: An In-Depth Examination and Evaluation. International Journal of Intelligent Systems and Applications in Engineering, 12(17s), 786–793. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5032

Issue

Section

Research Article

Most read articles by the same author(s)