Back close

Understanding CDMA in linear algebra point of view and its simulation in Excel

Publication Type : Conference Proceedings

Thematic Areas : Center for Computational Engineering and Networking (CEN)

Publisher : Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013

Source : Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013, Kerala, p.78-83 (2013)

Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84880082571&partnerID=40&md5=5581faf90e8107748f7e94bbffca4815

ISBN : 9781467350891

Keywords : Basic concepts, Channel access, Code division multiple access, Communication, Communication technologies, Excel computations, Fast Fourier transforms, IFFT, Linear algebra, Microsoft excel, Orthogonality, Point of views, Signal reconstruction

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Computer Science, Electronics and Communication

Verified : Yes

Year : 2013

Abstract : Code Division Multiple Access (CDMA) is one of the famous channel access method, mainly used in radio communication technologies. Unfortunately this concept is less understood by the student community due to the lack of understanding the mathematical rules behind it. This paper is intended to provide a linear algebra point of explanation of the concepts behind CDMA. The CDMA concept which was otherwise analyzed in spectral point of view is explained using the orthogonality of the bases. The Microsoft Excel Spread Sheet is used as an aid for the simulation since every one can go deep in to the basic concepts. © 2013 IEEE.

Cite this Research Publication : P. Sukanya, Suchithra M., Sikha O. K., Prabha, P., and Dr. Soman K. P., “Understanding CDMA in linear algebra point of view and its simulation in Excel”, Proceedings - 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013. Kerala, pp. 78-83, 2013.

Admissions Apply Now