caa a22 4500 606205705 CHVBK 20210128101008.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00034-014-9879-1 doi (NATIONALLICENCE)springer-10.1007/s00034-014-9879-1 Kak Subhash School of Electrical and Computer Engineering, Oklahoma State University, 74078, Stillwater, OK, USA aut Orthogonal Residue Sequences [Elektronische Daten] [Subhash Kak] This paper presents a class of random orthogonal sequences associated with the number theoretic Hilbert transform. We present a constructive procedure for finding the random sequences for different modulus values. These random sequences have autocorrelation function that is zero everywhere excepting at the origin. These sequences may be used as keys in communication applications in a manner that is analogous to the use of PN sequences in spread spectrum systems. Springer Science+Business Media New York, 2014 Random sequences nationallicence Orthogonal sequences nationallicence Number theoretic Hilbert transform nationallicence Key distribution nationallicence Code division nationallicence Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/3(2015-03-01), 1017-1025 0278-081X 34:3<1017 2015 34 34 https://doi.org/10.1007/s00034-014-9879-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-014-9879-1 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Kak Subhash School of Electrical and Computer Engineering, Oklahoma State University, 74078, Stillwater, OK, USA aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/3(2015-03-01), 1017-1025 0278-081X 34:3<1017 2015 34 34