Title :
Statistical properties of a class of pseudorandom sequences
Author_Institution :
Royal Radar Establishment, Malvern, UK
fDate :
12/1/1966 12:00:00 AM
Abstract :
The class of sequences discussed in the paper consists of those sequences which can be produced by inversion of alternate values in binary maximal-length sequences. The statistical properties of such sequences are analysed in terms of their multidimensional higher-order autocorrelation functions, and the results are compared with the statistical properties of a truly random binary sequence. The odd-order autocorrelation functions are identically zero. Some general properties of the even-order autocorrelation functions are derived. A sampled-data Laguerre filter chain is used to assess the statistical properties of some typical sequences. The paper ends with a discussion of some techniques which can be used to form multilevel sequences.
Keywords :
filtering and prediction theory; identification and modelling; mathematics; statistics;
Journal_Title :
Electrical Engineers, Proceedings of the Institution of
DOI :
10.1049/piee.1966.0361