FORMATION OF SETS OF FIVE-FOLD GOLD-TYPE SEQUENCES FOR DIGITAL INFORMATION TRANSMISSION SYSTEMS
Annotation
Sets of vectors of decimation indices IS = (id1, id2, …, idn) for the formation of sets of five-fold Gold-type sequences in finite fields GF(5S) (S = 3, 4, 5, 6) based on М- sequences with verification polynomials hМП(x) for periods N = 5S – 1 < 20 000, are presented. The sets include both the well–known decimation indices obtained by Trachtenberg, Helleset, Kumar and satisfying the condition LCD(idi, 5S – 1) = 1 (LCD is the largest common divisor), and the newly found indices that allow the formation of sets of five-fold Gold-type sequences with volumes VS = N + 1 and low levels of periodic auto- and the cross-correlation functions. For the considered values of S, boundary estimates of the maximum value of the correlation function modulus |Rmax| are given.
Keywords
Постоянный URL
Articles in current issue
- FORMATION OF SETS OF FIVE-FOLD GOLD-TYPE SEQUENCES FOR DIGITAL INFORMATION TRANSMISSION SYSTEMS
- ENTERPRISE TECHNICAL RISKS ASSOCIATED WITH DIGITAL TRANSFORMATION
- METHOD FOR CREATING AN INTEGRAL ASSESSMENT OF THE QUALITY OF DIFFICULT-TO-FORMALIZE OBJECT
- STATIONARY CHARACTERISTICS OF THE M/G/1/m QUEUING SYSTEM WITH REGARD TO SERVICE QUALITY CONTROL
- CONSTRUCTION, MODELING OF SIGNAL FORMATION AND PROCESSING FOR AIR PARAMETERS MEASURING SYSTEM WITH THE INTEGRATED FUSELAGE FLOW RECEIVER
- TOOLKIT FOR PRELIMINARY DESIGN AT THE STAGES OF DEVELOPING A CONTROL SYSTEM FOR A FLEXIBLE PRODUCTION AREA
- RESULTS OF EXPERIMENTAL PROCESSING OF PHASE MEASUREMENTS OF THE GLONASS SYSTEM USING A NON-BRUTE FORCE INTEGER AMBIGUITY RESOLUTION ALGORITHM FOR HIGH-PRECISION ABSOLUTE LOCATION
- INFLUENCE OF PRESSURE ON THE RESULTS OF MEASURING THE VOLUME FRACTIONS OF GAS COMPONENTS USING RAMAN SPECTROSCOPY
- PATTERNS OF MAGNETIC STRAY FIELD DISTRIBUTION ALONG THE SURFACE OF AN UNDERGROUND MAIN GAS PIPELINE AND AN ELASTICALLY BENT PIPE
- WAVE PROCESSES IN MEDIA WITH CYLINDRICAL SURFACES UNDER RIGID CONTACT
- FEATURES OF CONSTRUCTING A BOND GRAPH OF WALKING ROBOTS
- HYBRID NEURAL NETWORK MODELS FOR MONITORING TIME SERIES DATA OF COMPLEX OBJECTS